DeepSeek V4.1 Flash pricing: real cost per million tokens
What DeepSeek's DeepSeek V4.1 Flash really costs across 7 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 DeepSeek V4.1 Flash is OpenCode Go at a real cost of about $0.00161 per million tokens ($10/month for roughly 6.211B tokens a month). We track 7 plans and API channels that serve DeepSeek V4.1 Flash. Official API list price per million tokens: $0.006 cached input, $0.3 input, $1.2 output — about $0.0193 per million tokens on a standard workload mix.
- Lowest real price
- $0.00161/MTokOpenCode Go
- API list price
- $0.0193/MTokstandard workload mix
- Most monthly tokens
- 33.68BDroid Max
- Plans & APIs
- 75 subscriptions · 2 metered APIs
Plot DeepSeek V4.1 Flash on the price–capability chart →
DeepSeek V4.1 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.
| Plan | Provider | Billing | Monthly fee | Monthly tokens | Real $/MTok | vs API | Confidence | Data date | |
|---|---|---|---|---|---|---|---|---|---|
| OpenCode Go | OpenCode | Subscription | $10/mo | 6.211B | $0.00161 | 12× | Medium | Evidence ↓ | |
| Command Code GOAT | Command Code | Subscription | $10/mo | 6.211B | $0.00161 | 12× | Medium | Evidence ↓ | |
| Ollama Pro | Ollama | Subscription | $20/mo | 6.211B | $0.00322 | 6× | Medium | Evidence ↓ | |
| Ollama Max | Ollama | Subscription | $100/mo | 31.056B | $0.00322 | 6× | Medium | Evidence ↓ | |
| Droid Max | Factory | Subscription | $200/mo | 33.68B | $0.00594 | 3.3× | Medium | Evidence ↓ | |
| DeepSeek V4.1 Flash API Off-peak | DeepSeek | Metered API | — | — | $0.00966 | — | High | Evidence ↓ | |
| DeepSeek V4.1 Flash API Peak | DeepSeek | Metered API | — | — | $0.01932 | — | High | 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.
OpenCode GoOpenCode$0.00160999/MTok
- Plan
- OpenCode Go · OpenCode
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.00160999
- Monthly tokens
- 6,211,200,000 (6.211B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 6,211,200,000 tokens × 1,000,000 ≈ $0.00160999 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.006 / $0.3 / $1.2 · standard-load blended ≈ $0.0193/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (2 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
OpenDesign Arena · Quality ranking: 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-deepseek-round7-2026-09-30.json
1.5528B→6.2112B: min(shared monthly pool $60, model Usage $60) ÷ project standard-workload weighted price; official off-peak cached/input/output=$0.003/$0.15/$0.60, peak 2×. the model's monthly Usage rose from $15 to a permanent $60 (the official page once showed 4x limited to 9/27; the 9/30 page dropped the tag and lists $60 as the standing price — confirmed permanent; the estimated 130,000 requests/month is 4× the old $15 tier's 32,500, a consistent cross-check). the official Model ID is now deepseek-v4.1-flash. 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
https://opencode.ai/docs/go/opencode-go-deepseek-round7-2026-09-30.jsonBrowse the public evidence archive
Command Code GOATCommand Code$0.00160999/MTok
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.00160999
- Monthly tokens
- 6,211,200,000 (6.211B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 6,211,200,000 tokens × 1,000,000 ≈ $0.00160999 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.006 / $0.3 / $1.2 · standard-load blended ≈ $0.0193/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (2 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
OpenDesign Arena · Quality ranking: 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; command-code-goat-deepseek-round2-2026-09-30.json
4.1408B→6.2112B: min(shared monthly pool $70, model allowance $60) ÷ project standard-workload weighted price; official off-peak cached/input/output=$0.003/$0.15/$0.60, peak 2×. the model's monthly allowance rose from $40 to a permanent $60 (the official estimate of 154,000 requests/month is identical in tier to the $60-tier V4 Flash latest — confirmed permanent). The official request counts serve only as a cross-check and are no longer the primary allowance figure; processing fee ignored; allowances of different models in the same plan are not additive
https://commandcode.ai/docs/plans/goathttps://commandcode.ai/pricingcommand-code-goat-deepseek-round2-2026-09-30.jsonBrowse the public evidence archive
Ollama ProOllama$0.00321999/MTok
- Plan
- Ollama Pro · Ollama
- Data date
- 2026-09-11 · official source date
- Real price / MTok
- $0.00321999
- Monthly tokens
- 6,211,200,000 (6.211B)
- Quota confidence
- Medium
- Calculation
- $20 / month ÷ 6,211,200,000 tokens × 1,000,000 ≈ $0.00321999 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.006 / $0.3 / $1.2 · standard-load blended ≈ $0.0193/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (2 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
OpenDesign Arena · Quality ranking: 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 6.2112B: shared monthly pool $60 ÷ project standard-workload weighted price; Off-Peak; Peak=2× (Ollama's peak window 12:00–18:00 UTC Mon–Fri; amounts align with official DeepSeek V4.1 Flash but the window differs); rolled out in batches from 2026-09-10; Ollama has only this one V4.1 variant; ollama-deepseek-v41-round1-2026-09-11.json. 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 MaxOllama$0.00322/MTok
- Plan
- Ollama Max · Ollama
- Data date
- 2026-09-11 · official source date
- Real price / MTok
- $0.00322
- Monthly tokens
- 31,055,900,000 (31.056B)
- Quota confidence
- Medium
- Calculation
- $100 / month ÷ 31,055,900,000 tokens × 1,000,000 ≈ $0.00322 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.006 / $0.3 / $1.2 · standard-load blended ≈ $0.0193/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (2 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
OpenDesign Arena · Quality ranking: 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 31.0559B: shared monthly pool $300 ÷ project standard-workload weighted price; Off-Peak; Peak=2× (Ollama's peak window 12:00–18:00 UTC Mon–Fri; amounts align with official DeepSeek V4.1 Flash but the window differs); rolled out in batches from 2026-09-10; Ollama has only this one V4.1 variant; ollama-deepseek-v41-round1-2026-09-11.json. 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
Droid MaxFactory$0.00593824/MTok
- Data date
- 2026-09-29 · derived; uses the data date of Droid Max · claude-opus-5.5
- Real price / MTok
- $0.00593824
- Monthly tokens
- 33,680,000,000 (33.68B)
- Quota confidence
- Medium
- Calculation
- $200 / month ÷ 33,680,000,000 tokens × 1,000,000 ≈ $0.00593824 / MTok
- Quota basis
Anthropic workload: 97% cache reads / 2.5% cache writes / 0.5% output
Official API list (cached / in / out, per MTok): $0.006 / $0.3 / $1.2 · standard-load blended ≈ $0.0193/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (2 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
OpenDesign Arena · Quality ranking: 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 × 13.333333333333334
Factory official multipliers Opus 5.5 1.6× / deepseek-v4.1-flash 0.12×: 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
droid-model-multipliers-2026-09-29.jsonBrowse the public evidence archive
DeepSeek V4.1 Flash API Off-peakDeepSeek$0.00966/MTok
- Data date
- 2026-09-10 · official source date
- Real price / MTok
- $0.00966
- Quota confidence
- High
- Calculation
- Metered API · public token prices weighted by the project standard workload.
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (2 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
OpenDesign Arena · Quality ranking: 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://api-docs.deepseek.com/quick_start/pricing/; list-prices-deepseek-v41-round2-2026-09-10.json
Old 0.00811 (¥0.02/¥1/¥4÷6.7787) → 0.00825; switched to the official USD list price cached/input/output=$0.003/$0.15/$0.60 under the project standard workload. CNY÷project-rate no longer used. api-docs.deepseek.com 2026-09-10; confirmed; list-prices-deepseek-v41-round2-2026-09-10.json. The old V4 point is unchanged per the ruling.
https://api-docs.deepseek.com/quick_start/pricing/list-prices-deepseek-v41-round2-2026-09-10.jsonBrowse the public evidence archive
DeepSeek V4.1 Flash API PeakDeepSeek$0.01932/MTok
- Data date
- 2026-09-10 · official source date
- Real price / MTok
- $0.01932
- Quota confidence
- High
- Calculation
- Metered API · public token prices weighted by the project standard workload.
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (2 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (2 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
OpenDesign Arena · Quality ranking: 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://api-docs.deepseek.com/quick_start/pricing/; list-prices-deepseek-v41-round2-2026-09-10.json
Old 0.01623 (¥0.04/¥2/¥8÷6.7787) → 0.01650; switched to the official USD list price cached/input/output=$0.006/$0.30/$1.20 under the project standard workload. Peak = 2× off-peak. api-docs.deepseek.com 2026-09-10; confirmed; list-prices-deepseek-v41-round2-2026-09-10.json. The old V4 point is unchanged per the ruling.
https://api-docs.deepseek.com/quick_start/pricing/list-prices-deepseek-v41-round2-2026-09-10.jsonBrowse the public evidence archive
DeepSeek V4.1 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.
| Leaderboard | Metric | Score | Rank | Configuration | Effort | Harness | Configs | Snapshot |
|---|---|---|---|---|---|---|---|---|
| Artificial Analysis Intelligence Index v4.3 | Intelligence Index | 39.46 | #25 / 60 | DeepSeek V4.1 Flash (max) | Max | — | 2 | 2026-10-01 |
| Terminal-Bench 4.0 | Resolution Rate % | 31.2 self-reported | #9 / 18 | DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) | Max | DeepSeek Harness Minimal | 1 | 2026-09-21 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 26.77 | #17 / 53 | Artificial Analysis - DeepSeek V4.1 Flash (max) | Max | Artificial Analysis | 2 | 2026-10-01 |
| Code Arena | WebDev Overall | Arena Score | 1,620 | #16 / 54 | deepseek-v4.1-flash-max | Max | — | 1 | 2026-09-30 |
| Agent Arena · Overall (Ranking / Pareto) | Net Improvement % | 4.01 | #13 / 39 | Deepseek V4.1 Flash (Max) | Max | — | 1 | 2026-09-30 |
| OpenDesign Arena · Quality ranking | Average task score | 81.2 | #8 / 16 | DeepSeek V4.1 Flash | — | OpenDesign | 1 | 2026-10-01 |
| DeepSWE v1.1 | Pass@1 % | 74.2 self-reported | #1 / 33 | mini-SWE - DeepSeek V4.1 Flash (max) | Max | mini-SWE | 1 | 2026-09-03 |
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 |
|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash (max) | 39.4562 | — | — / Max / — | — / — | 2026-10-01 | Source · Archive |
| DeepSeek V4.1 Flash (non-reasoning) | 24.6734 | — | — / — / — | — / — | 2026-10-01 | Source · Archive |
Terminal-Bench 4.0 1 configuration
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) [vendor self-report]DeepSeek Harness Minimal - DeepSeek V4.1 Flash (max) | 31.2 vendor self-report | — | DeepSeek Harness Minimal / Max / — | — / — | 2026-09-12 | Source · Archive |
Terminal-Bench 4.0 (AA) 2 configurations
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| Artificial Analysis - DeepSeek V4.1 Flash (max)AA'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. | 26.7677 | — | Artificial Analysis / Max / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - DeepSeek V4.1 Flash (non-reasoning)AA'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. | 5.5556 | — | Artificial Analysis / — / — | — / — | 2026-10-01 | Source · Archive |
Code Arena | WebDev Overall 1 configuration
Agent Arena · Overall (Ranking / Pareto) 1 configuration
OpenDesign Arena · Quality ranking 1 configuration
DeepSWE v1.1 1 configuration
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| mini-SWE - DeepSeek V4.1 Flash (max) [vendor self-report]mini-SWE - DeepSeek V4.1 Flash (max) | 74.2 vendor self-report | — | mini-SWE / Max / — | — / — | 2026-09-12 | Source · 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.
- 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. Vendor self-reported score, not an official leaderboard run.
- Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.
DeepSeek V4.1 Flash official API pricing
| Cached input | Input | Output |
|---|---|---|
| $0.006 | $0.3 | $1.2 |
Frequently asked questions
How much does DeepSeek V4.1 Flash really cost per million tokens?
Measured as monthly fee ÷ tokens you can actually use, DeepSeek V4.1 Flash ranges from $0.00161 (OpenCode Go) to $0.01932 (DeepSeek V4.1 Flash API Peak) per million tokens.
Which subscription gives the most DeepSeek V4.1 Flash usage?
Droid Max allows roughly 33.68B tokens of DeepSeek V4.1 Flash per month for $200.
What is the official API price of DeepSeek V4.1 Flash?
Official API list price per million tokens: $0.006 cached input, $0.3 input, $1.2 output — about $0.0193 per million tokens on a standard workload mix.
How does DeepSeek V4.1 Flash score on independent leaderboards?
DeepSeek V4.1 Flash has scores on 7 leaderboards; its strongest placement is 74.2 (Pass@1 %) on DeepSWE v1.1, #1 of 33 models tracked.
Who makes DeepSeek V4.1 Flash, and where can I use it?
DeepSeek V4.1 Flash (model ID deepseek-v4.1-flash) is made by DeepSeek and is available through Command Code, DeepSeek, Factory, Ollama, OpenCode.
More DeepSeek models
| Model | Lowest real $/MTok | Cheapest plan | Plans |
|---|---|---|---|
| DeepSeek V4 Flash | $0.00161 | Command Code GOAT | 6 |
| DeepSeek V4.1 Flash Fast | $0.00374 | Command Code GOAT | 1 |
| DeepSeek V4 Flash Vision Exp | $0.00483 | Command Code GOAT | 2 |
| DeepSeek V4 Pro | $0.01591 | Ollama Pro | 6 |
| DeepSeek V4 Flash Fast | $0.03885 | Command Code GOAT | 1 |