GLM 5.3 Flash pricing: real cost per million tokens

What Zhipu's GLM 5.3 Flash really costs across 23 plans from 5 providers: monthly fees, usable allowances and real per-token prices, against the official API list price and independent leaderboards.

Data updated · How real prices are computed

As of 2026-10-08, the cheapest way to use GLM 5.3 Flash is GLM Coding Pro (v2 ¥149) Off-peak at a real cost of about $0.00293 per million tokens ($21.98/month for roughly 7.492B tokens a month). We track 23 plans and API channels that serve GLM 5.3 Flash. Official API list price per million tokens: $0.03 cached input, $0.15 input, $0.5 output — about $0.0353 per million tokens on a standard workload mix.

Lowest real price
$0.00293/MTokGLM Coding Pro (v2 ¥149) Off-peak
API list price
$0.0353/MTokstandard workload mix
Most monthly tokens
67.36BDroid Max
Plans & APIs
2323 subscriptions · 0 metered APIs
Maker
Zhipu
Model ID
glm-5.3-flash
Providers
Command Code, Factory, Ollama, OpenCode, Zhipu
Leaderboards
Artificial Analysis Intelligence Index v4.3, Terminal-Bench 4.0 (AA), Code Arena | WebDev Overall, Agent Arena · Overall (Ranking / Pareto), DeepSWE v1.1

Plot GLM 5.3 Flash on the price–capability chart →

GLM 5.3 Flash plans and real prices

Real price = monthly fee ÷ tokens you can actually use in a month. “vs API” shows how many times cheaper than the official API list price (standard workload mix) the plan is. “Evidence” opens the full calculation and sources for that row.

Every tracked way to use GLM 5.3 Flash, cheapest first
PlanProviderBillingMonthly feeMonthly tokensReal $/MTokvs APIConfidenceData date
GLM Coding Pro (v2 ¥149) Off-peakZhipuSubscription$21.98/mo7.492B$0.0029312×HighEvidence ↓
Droid MaxFactorySubscription$200/mo67.36B$0.0029711.9×MediumEvidence ↓
GLM Coding Pro (v2 ¥149) MidpointZhipuSubscription$21.98/mo5.619B$0.003919×HighEvidence ↓
GLM Coding Max (v2 ¥469) Off-peakZhipuSubscription$69.19/mo17.481B$0.003968.9×HighEvidence ↓
GLM Coding Max (v2 ¥469) MidpointZhipuSubscription$69.19/mo13.111B$0.005286.7×HighEvidence ↓
GLM Coding Lite (v2 ¥49) Off-peakZhipuSubscription$7.23/mo1.249B$0.005796.1×HighEvidence ↓
GLM Coding Pro (v2 ¥149) PeakZhipuSubscription$21.98/mo3.746B$0.005876×HighEvidence ↓
OpenCode GoOpenCodeSubscription$10/mo1.697B$0.005896×MediumEvidence ↓
GLM Coding Lite (v2 ¥49) MidpointZhipuSubscription$7.23/mo0.936B$0.007724.6×HighEvidence ↓
GLM Coding Max (v2 ¥469) PeakZhipuSubscription$69.19/mo8.74B$0.007924.5×HighEvidence ↓
Command Code GOATCommand CodeSubscription$10/mo1.132B$0.008844×MediumEvidence ↓
GLM Coding Max (v3 ¥1078) Off-peakZhipuSubscription$159/mo17.481B$0.00913.9×HighEvidence ↓
GLM Coding Pro (v3 ¥538) Off-peakZhipuSubscription$79.37/mo7.492B$0.010593.3×HighEvidence ↓
GLM Coding Lite (v2 ¥49) PeakZhipuSubscription$7.23/mo0.624B$0.011583×HighEvidence ↓
Ollama MaxOllamaSubscription$100/mo8.487B$0.011783×MediumEvidence ↓
Ollama ProOllamaSubscription$20/mo1.697B$0.011783×MediumEvidence ↓
GLM Coding Max (v3 ¥1078) MidpointZhipuSubscription$159/mo13.111B$0.012132.9×HighEvidence ↓
GLM Coding Lite (v3 ¥118) Off-peakZhipuSubscription$17.41/mo1.249B$0.013942.5×HighEvidence ↓
GLM Coding Pro (v3 ¥538) MidpointZhipuSubscription$79.37/mo5.619B$0.014122.5×HighEvidence ↓
GLM Coding Max (v3 ¥1078) PeakZhipuSubscription$159/mo8.74B$0.01821.9×HighEvidence ↓
GLM Coding Lite (v3 ¥118) MidpointZhipuSubscription$17.41/mo0.936B$0.01861.9×HighEvidence ↓
GLM Coding Pro (v3 ¥538) PeakZhipuSubscription$79.37/mo3.746B$0.021191.7×HighEvidence ↓
GLM Coding Lite (v3 ¥118) PeakZhipuSubscription$17.41/mo0.624B$0.02791.3×HighEvidence ↓

Behind each number

For every plan: the data date, the exact calculation, the quota basis, how leaderboard scores were mapped, and the original adoption evidence with its sources.

GLM Coding Pro (v2 ¥149) Off-peakZhipu$0.00293388/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.00293388
Monthly tokens
7,492,000,000 (7.492B)
Quota confidence
High
Calculation
$21.98 / month (¥149) ÷ 7,492,000,000 tokens × 1,000,000 ≈ $0.00293388 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 60000, off-peak coefficient 2×, weekly 1.873B ×4 weeks = 7.492B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

Droid MaxFactory$0.00296912/MTok
Data date
2026-09-29 · derived; uses the data date of Droid Max · claude-opus-5.5
Real price / MTok
$0.00296912
Monthly tokens
67,360,000,000 (67.36B)
Quota confidence
Medium
Calculation
$200 / month ÷ 67,360,000,000 tokens × 1,000,000 ≈ $0.00296912 / MTok
Quota basis

Anthropic workload: 97% cache reads / 2.5% cache writes / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

Derived from same-plan claude-opus-5.5 2.526B × 26.666666666666668

Factory official multipliers Opus 5.5 1.6× / glm-5.3-flash 0.06×: the same Standard Usage pool scaled by multiplier — not a measurement of this model; inherits the Opus 5.5 row's Anthropic-tier workload, not recomputed for each model's own price gap; docs.factory.ai/docs/models; droid-model-multipliers-2026-09-29.json; Droid Core models draw Standard Usage first, then a separate free open-source pool applies (independent cap unmeasured); this value counts only the Standard Usage part

GLM Coding Pro (v2 ¥149) MidpointZhipu$0.00391184/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.00391184
Monthly tokens
5,619,000,000 (5.619B)
Quota confidence
High
Calculation
$21.98 / month (¥149) ÷ 5,619,000,000 tokens × 1,000,000 ≈ $0.00391184 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 60000, midpoint coefficient 1.5×, weekly 1.4047B ×4 weeks = 5.619B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Max (v2 ¥469) Off-peakZhipu$0.00395786/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.00395786
Monthly tokens
17,481,000,000 (17.481B)
Quota confidence
High
Calculation
$69.19 / month (¥469) ÷ 17,481,000,000 tokens × 1,000,000 ≈ $0.00395786 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 140000, off-peak coefficient 2×, weekly 4.3702B ×4 weeks = 17.481B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Max (v2 ¥469) MidpointZhipu$0.00527704/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.00527704
Monthly tokens
13,111,000,000 (13.111B)
Quota confidence
High
Calculation
$69.19 / month (¥469) ÷ 13,111,000,000 tokens × 1,000,000 ≈ $0.00527704 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 140000, midpoint coefficient 1.5×, weekly 3.2777B ×4 weeks = 13.111B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Lite (v2 ¥49) Off-peakZhipu$0.00578745/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.00578745
Monthly tokens
1,249,000,000 (1.249B)
Quota confidence
High
Calculation
$7.23 / month (¥49) ÷ 1,249,000,000 tokens × 1,000,000 ≈ $0.00578745 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 10000, off-peak coefficient 2×, weekly 312.2M ×4 weeks = 1.249B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Pro (v2 ¥149) PeakZhipu$0.00586776/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.00586776
Monthly tokens
3,746,000,000 (3.746B)
Quota confidence
High
Calculation
$21.98 / month (¥149) ÷ 3,746,000,000 tokens × 1,000,000 ≈ $0.00586776 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 60000, peak coefficient 1×, weekly 936.5M ×4 weeks = 3.746B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

OpenCode GoOpenCode$0.00589171/MTok
Data date
2026-09-30 · official source date
Real price / MTok
$0.00589171
Monthly tokens
1,697,300,000 (1.697B)
Quota confidence
Medium
Calculation
$10 / month ÷ 1,697,300,000 tokens × 1,000,000 ≈ $0.00589171 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json

Old: 444M (request estimate)→1.6973B: min(shared monthly pool $60, model Usage $60) ÷ project standard-workload weighted price; official Usage $15->$60 (reverified 2026-09-30); goat-opencode-catalogs-round3-2026-09-30.json. The official request counts serve only as a cross-check and are no longer the primary allowance figure; allowances of different models in the same plan are not additive

GLM Coding Lite (v2 ¥49) MidpointZhipu$0.00772278/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.00772278
Monthly tokens
936,000,000 (0.936B)
Quota confidence
High
Calculation
$7.23 / month (¥49) ÷ 936,000,000 tokens × 1,000,000 ≈ $0.00772278 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 10000, midpoint coefficient 1.5×, weekly 234.1M ×4 weeks = 936M; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Max (v2 ¥469) PeakZhipu$0.00791617/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.00791617
Monthly tokens
8,740,000,000 (8.74B)
Quota confidence
High
Calculation
$69.19 / month (¥469) ÷ 8,740,000,000 tokens × 1,000,000 ≈ $0.00791617 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 140000, peak coefficient 1×, weekly 2.1851B ×4 weeks = 8.74B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

Command Code GOATCommand Code$0.00883783/MTok
Data date
2026-09-30 · official source date
Real price / MTok
$0.00883783
Monthly tokens
1,131,500,000 (1.132B)
Quota confidence
Medium
Calculation
$10 / month ÷ 1,131,500,000 tokens × 1,000,000 ≈ $0.00883783 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json

Added 1.1315B: min(shared monthly pool $70, model allowance $40) ÷ project standard-workload weighted price; official three-part pricing. Processing fee ignored; allowances of different models in the same plan are not additive; no usage-panel token+% screenshot — computed from official absolute credits and the price list

GLM Coding Max (v3 ¥1078) Off-peakZhipu$0.00909717/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.00909717
Monthly tokens
17,481,000,000 (17.481B)
Quota confidence
High
Calculation
$159 / month (¥1078) ÷ 17,481,000,000 tokens × 1,000,000 ≈ $0.00909717 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 140000, off-peak coefficient 2×, weekly 4.3702B ×4 weeks = 17.481B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Pro (v3 ¥538) Off-peakZhipu$0.0105935/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.0105935
Monthly tokens
7,492,000,000 (7.492B)
Quota confidence
High
Calculation
$79.37 / month (¥538) ÷ 7,492,000,000 tokens × 1,000,000 ≈ $0.0105935 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 60000, off-peak coefficient 2×, weekly 1.873B ×4 weeks = 7.492B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Lite (v2 ¥49) PeakZhipu$0.0115842/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.0115842
Monthly tokens
624,000,000 (0.624B)
Quota confidence
High
Calculation
$7.23 / month (¥49) ÷ 624,000,000 tokens × 1,000,000 ≈ $0.0115842 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 10000, peak coefficient 1×, weekly 156.1M ×4 weeks = 624M; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

Ollama MaxOllama$0.0117833/MTok
Data date
2026-09-06 · official source date
Real price / MTok
$0.0117833
Monthly tokens
8,486,600,000 (8.487B)
Quota confidence
Medium
Calculation
$100 / month ÷ 8,486,600,000 tokens × 1,000,000 ≈ $0.0117833 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://ollama.com/pricing official usage credits and three-part pricing; https://ollama.com/blog/transparent-pricing; code-subscriptions-round1-2026-09-06.json; ollama-deepseek-v41-round1-2026-09-11.json

Added 8.4866B: shared monthly pool $300 ÷ project standard-workload weighted price; official three-part pricing. Allowances of different models in the same plan are not additive (assuming the shared pool is used up on a single model); no usage-panel token+% screenshot — computed from official absolute credits and the price list

Ollama ProOllama$0.0117834/MTok
Data date
2026-09-06 · official source date
Real price / MTok
$0.0117834
Monthly tokens
1,697,300,000 (1.697B)
Quota confidence
Medium
Calculation
$20 / month ÷ 1,697,300,000 tokens × 1,000,000 ≈ $0.0117834 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://ollama.com/pricing official usage credits and three-part pricing; https://ollama.com/blog/transparent-pricing; code-subscriptions-round1-2026-09-06.json; ollama-deepseek-v41-round1-2026-09-11.json

Added 1.6973B: shared monthly pool $60 ÷ project standard-workload weighted price; official three-part pricing. Allowances of different models in the same plan are not additive (assuming the shared pool is used up on a single model); no usage-panel token+% screenshot — computed from official absolute credits and the price list

GLM Coding Max (v3 ¥1078) MidpointZhipu$0.0121293/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.0121293
Monthly tokens
13,111,000,000 (13.111B)
Quota confidence
High
Calculation
$159 / month (¥1078) ÷ 13,111,000,000 tokens × 1,000,000 ≈ $0.0121293 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 140000, midpoint coefficient 1.5×, weekly 3.2777B ×4 weeks = 13.111B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Lite (v3 ¥118) Off-peakZhipu$0.0139371/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.0139371
Monthly tokens
1,249,000,000 (1.249B)
Quota confidence
High
Calculation
$17.41 / month (¥118) ÷ 1,249,000,000 tokens × 1,000,000 ≈ $0.0139371 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 10000, off-peak coefficient 2×, weekly 312.2M ×4 weeks = 1.249B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Pro (v3 ¥538) MidpointZhipu$0.0141246/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.0141246
Monthly tokens
5,619,000,000 (5.619B)
Quota confidence
High
Calculation
$79.37 / month (¥538) ÷ 5,619,000,000 tokens × 1,000,000 ≈ $0.0141246 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 60000, midpoint coefficient 1.5×, weekly 1.4047B ×4 weeks = 5.619B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Max (v3 ¥1078) PeakZhipu$0.0181954/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.0181954
Monthly tokens
8,740,000,000 (8.74B)
Quota confidence
High
Calculation
$159 / month (¥1078) ÷ 8,740,000,000 tokens × 1,000,000 ≈ $0.0181954 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 140000, peak coefficient 1×, weekly 2.1851B ×4 weeks = 8.74B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Lite (v3 ¥118) MidpointZhipu$0.0185977/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.0185977
Monthly tokens
936,000,000 (0.936B)
Quota confidence
High
Calculation
$17.41 / month (¥118) ÷ 936,000,000 tokens × 1,000,000 ≈ $0.0185977 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 10000, midpoint coefficient 1.5×, weekly 234.1M ×4 weeks = 936M; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Pro (v3 ¥538) PeakZhipu$0.0211869/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.0211869
Monthly tokens
3,746,000,000 (3.746B)
Quota confidence
High
Calculation
$79.37 / month (¥538) ÷ 3,746,000,000 tokens × 1,000,000 ≈ $0.0211869 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 60000, peak coefficient 1×, weekly 936.5M ×4 weeks = 3.746B; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM Coding Lite (v3 ¥118) PeakZhipu$0.0278966/MTok
Data date
2026-09-03 · official source date
Real price / MTok
$0.0278966
Monthly tokens
624,000,000 (0.624B)
Quota confidence
High
Calculation
$17.41 / month (¥118) ÷ 624,000,000 tokens × 1,000,000 ≈ $0.0278966 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.03 / $0.15 / $0.5 · standard-load blended ≈ $0.0353/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

docs.bigmodel.cn official weekly credits and three-tier credit coefficients; standard-token-mix-round1-2026-09-07.json

Unified standard workload; weekly credits 10000, peak coefficient 1×, weekly 156.1M ×4 weeks = 624M; peak/valley midpoint no longer used; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

GLM 5.3 Flash benchmark scores

Highest archived configuration per leaderboard; ranks are among all models each board archives in this dataset. Scores are never mixed across boards.

GLM 5.3 Flash on independent leaderboards
LeaderboardMetricScoreRankConfigurationEffortHarnessConfigsSnapshot
Artificial Analysis Intelligence Index v4.3Intelligence Index41.81#19 / 60GLM-5.3-Flash——12026-10-01
Terminal-Bench 4.0 (AA)Resolution Rate %32.83#16 / 53Artificial Analysis - GLM-5.3-Flash—Artificial Analysis12026-10-01
Code Arena | WebDev OverallArena Score1,615#20 / 54glm-5.3-flash——12026-09-30
Agent Arena · Overall (Ranking / Pareto)Net Improvement %-0.28#25 / 39GLM 5.3 Flash——12026-09-30
DeepSWE v1.1Pass@1 %63.39#17 / 33mini-swe-agent - glm-5-3-flash (max)Maxmini-swe-agent12026-09-03

Every archived configuration

Artificial Analysis Intelligence Index v4.3 1 configuration
Artificial Analysis Intelligence Index v4.3: every archived configuration (Intelligence Index)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
GLM-5.3-Flash41.8075—— / — / —— / —2026-10-01Source · Archive
Terminal-Bench 4.0 (AA) 1 configuration
Terminal-Bench 4.0 (AA): every archived configuration (Resolution Rate %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Artificial Analysis - GLM-5.3-FlashAA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board.32.8283—Artificial Analysis / — / —— / —2026-10-01Source · Archive
Code Arena | WebDev Overall 1 configuration
Code Arena | WebDev Overall: every archived configuration (Arena Score)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
glm-5.3-flash1,6151,607.3 – 1,622.7— / — / —— / —2026-10-01Source · Archive
Agent Arena · Overall (Ranking / Pareto) 1 configuration
Agent Arena · Overall (Ranking / Pareto): every archived configuration (Net Improvement %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
GLM 5.3 Flash-0.28-0.76 – 0.2— / — / —— / $0.12026-10-01Source · Archive
DeepSWE v1.1 1 configuration
DeepSWE v1.1: every archived configuration (Pass@1 %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
mini-swe-agent - glm-5-3-flash (max)63.392959.015 – 67.771mini-swe-agent / Max / —$0.482 / $0.392026-09-12Source · Archive

These are reference mappings, not benchmarks of a subscription or API channel. Harness and quota-measurement effort alignment are unverified. Source task costs are not subscription task costs.

GLM 5.3 Flash official API pricing

List price per million tokens
Cached inputInputOutput
$0.03$0.15$0.5

Frequently asked questions

How much does GLM 5.3 Flash really cost per million tokens?

Measured as monthly fee ÷ tokens you can actually use, GLM 5.3 Flash ranges from $0.00293 (GLM Coding Pro (v2 ¥149) Off-peak) to $0.0279 (GLM Coding Lite (v3 ¥118) Peak) per million tokens.

Which subscription gives the most GLM 5.3 Flash usage?

Droid Max allows roughly 67.36B tokens of GLM 5.3 Flash per month for $200.

What is the official API price of GLM 5.3 Flash?

Official API list price per million tokens: $0.03 cached input, $0.15 input, $0.5 output — about $0.0353 per million tokens on a standard workload mix.

How does GLM 5.3 Flash score on independent leaderboards?

GLM 5.3 Flash has scores on 5 leaderboards; its strongest placement is 32.83 (Resolution Rate %) on Terminal-Bench 4.0 (AA), #16 of 53 models tracked.

Who makes GLM 5.3 Flash, and where can I use it?

GLM 5.3 Flash (model ID glm-5.3-flash) is made by Zhipu and is available through Command Code, Factory, Ollama, OpenCode, Zhipu.

More Zhipu models

Other Zhipu models by lowest real price
ModelLowest real $/MTokCheapest planPlans
GLM 5.3$0.00889GLM Coding Pro (v2 ¥149) Off-peak23
GLM 5.2$0.02771Droid Max5
GLM 5.2 Fast$0.04157Droid Max2
GLM 5.3 FlashX$0.04413Command Code GOAT1
GLM 5.1$0.07833Ollama Max3
GLM 5$0.1175Command Code GOAT1