GLM 5.1 pricing: real cost per million tokens
What Zhipu's GLM 5.1 really costs across 3 plans from 2 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 5.1 is Ollama Max at a real cost of about $0.07833 per million tokens ($100/month for roughly 1.277B tokens a month). We track 3 plans and API channels that serve GLM 5.1.
- Lowest real price
- $0.07833/MTokOllama Max
- API list price
- —
- Most monthly tokens
- 1.277BOllama Max
- Plans & APIs
- 33 subscriptions · 0 metered APIs
Plot GLM 5.1 on the price–capability chart →
GLM 5.1 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.
| Plan | Provider | Billing | Monthly fee | Monthly tokens | Real $/MTok | vs API | Confidence | Data date | |
|---|---|---|---|---|---|---|---|---|---|
| Ollama Max | Ollama | Subscription | $100/mo | 1.277B | $0.07833 | — | Medium | Evidence ↓ | |
| Ollama Pro | Ollama | Subscription | $20/mo | 0.255B | $0.07834 | — | Medium | Evidence ↓ | |
| Command Code GOAT | Command Code | Subscription | $10/mo | 0.065B | $0.1546 | — | Medium | Evidence ↓ |
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.
Ollama MaxOllama$0.0783331/MTok
- Plan
- Ollama Max · Ollama
- Data date
- 2026-09-06 · official source date
- Real price / MTok
- $0.0783331
- Monthly tokens
- 1,276,600,000 (1.277B)
- Quota confidence
- Medium
- Calculation
- $100 / month ÷ 1,276,600,000 tokens × 1,000,000 ≈ $0.0783331 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: 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 1.2766B: 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
https://ollama.com/pricinghttps://ollama.com/blog/transparent-pricingcode-subscriptions-round1-2026-09-06.jsonollama-deepseek-v41-round1-2026-09-11.jsonBrowse the public evidence archive
Ollama ProOllama$0.0783392/MTok
- Plan
- Ollama Pro · Ollama
- Data date
- 2026-09-06 · official source date
- Real price / MTok
- $0.0783392
- Monthly tokens
- 255,300,000 (0.255B)
- Quota confidence
- Medium
- Calculation
- $20 / month ÷ 255,300,000 tokens × 1,000,000 ≈ $0.0783392 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: 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 255.3M: 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
https://ollama.com/pricinghttps://ollama.com/blog/transparent-pricingcode-subscriptions-round1-2026-09-06.jsonollama-deepseek-v41-round1-2026-09-11.jsonBrowse the public evidence archive
Command Code GOATCommand Code$0.15456/MTok
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.15456
- Monthly tokens
- 64,700,000 (0.065B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 64,700,000 tokens × 1,000,000 ≈ $0.15456 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: 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 64.7M: min(shared monthly pool $70, model allowance $20) ÷ project standard-workload weighted price; official three-part price; Older models all $20; goat-opencode-catalogs-round3-2026-09-30.json. 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
https://commandcode.ai/docs/plans/goathttps://commandcode.ai/pricing;code-subscriptions-round1-2026-09-06.jsongoat-opencode-catalogs-round3-2026-09-30.jsonBrowse the public evidence archive
GLM 5.1 benchmark scores
Highest archived configuration per leaderboard; ranks are among all models each board archives in this dataset. Scores are never mixed across boards.
| Leaderboard | Metric | Score | Rank | Configuration | Effort | Harness | Configs | Snapshot |
|---|---|---|---|---|---|---|---|---|
| Artificial Analysis Intelligence Index v4.3 | Intelligence Index | 26.06 | #45 / 60 | GLM-5.1 | — | — | 2 | 2026-10-01 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 2.02 | #38 / 53 | Artificial Analysis - GLM-5.1 | — | Artificial Analysis | 1 | 2026-10-01 |
| Code Arena | WebDev Overall | Arena Score | 1,508 | #39 / 54 | glm-5.1 | — | — | 1 | 2026-09-30 |
Every archived configuration
Artificial Analysis Intelligence Index v4.3 2 configurations
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| GLM-5.1 | 26.0586 | — | — / — / — | — / — | 2026-10-01 | Source · Archive |
| GLM-5.1 (non-reasoning) [AA estimate]GLM-5.1 (non-reasoning)Marked intelligenceIndexIsEstimated=true in AA embedded payload; retained as estimate, not treated as fully measured. | 24.2412 AA estimate | — | — / — / — | — / — | 2026-10-01 | Source · Archive |
Terminal-Bench 4.0 (AA) 1 configuration
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| Artificial Analysis - GLM-5.1AA'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. | 2.0202 | — | Artificial Analysis / — / — | — / — | 2026-10-01 | Source · Archive |
Code Arena | WebDev Overall 1 configuration
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.
- Exact served-model reference; quota-measurement effort is unverified.
- Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.
Frequently asked questions
How much does GLM 5.1 really cost per million tokens?
Measured as monthly fee ÷ tokens you can actually use, GLM 5.1 ranges from $0.07833 (Ollama Max) to $0.1546 (Command Code GOAT) per million tokens.
Which subscription gives the most GLM 5.1 usage?
Ollama Max allows roughly 1.277B tokens of GLM 5.1 per month for $100.
How does GLM 5.1 score on independent leaderboards?
GLM 5.1 has scores on 3 leaderboards; its strongest placement is 2.02 (Resolution Rate %) on Terminal-Bench 4.0 (AA), #38 of 53 models tracked.
Who makes GLM 5.1, and where can I use it?
GLM 5.1 (model ID glm-5.1) is made by Zhipu and is available through Command Code, Ollama.
More Zhipu models
| Model | Lowest real $/MTok | Cheapest plan | Plans |
|---|---|---|---|
| GLM 5.3 Flash | $0.00293 | GLM Coding Pro (v2 ¥149) Off-peak | 23 |
| GLM 5.3 | $0.00889 | GLM Coding Pro (v2 ¥149) Off-peak | 23 |
| GLM 5.2 | $0.02771 | Droid Max | 5 |
| GLM 5.2 Fast | $0.04157 | Droid Max | 2 |
| GLM 5.3 FlashX | $0.04413 | Command Code GOAT | 1 |
| GLM 5 | $0.1175 | Command Code GOAT | 1 |