MiniMax M2.7 pricing: real cost per million tokens
What MiniMax's MiniMax M2.7 really costs across 6 plans from 4 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 MiniMax M2.7 is OpenCode Go at a real cost of about $0.01195 per million tokens ($10/month for roughly 0.837B tokens a month). We track 6 plans and API channels that serve MiniMax M2.7. Official API list price per million tokens: $0.06 cached input, $0.3 input, $1.2 output — about $0.0717 per million tokens on a standard workload mix.
- Lowest real price
- $0.01195/MTokOpenCode Go
- API list price
- $0.0717/MTokstandard workload mix
- Most monthly tokens
- 4.184BOllama Max
- Plans & APIs
- 66 subscriptions · 0 metered APIs
Plot MiniMax M2.7 on the price–capability chart →
MiniMax M2.7 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 | 0.837B | $0.01195 | 6× | Medium | Evidence ↓ | |
| MiniMax Token Plan Plus | MiniMax | Subscription | $7.23/mo | 0.6B | $0.01205 | 6× | Medium | Evidence ↓ | |
| MiniMax Token Plan Plus (Global) | MiniMax | Subscription | $22/mo | 1.7B | $0.01294 | 5.5× | Medium | Evidence ↓ | |
| Ollama Max | Ollama | Subscription | $100/mo | 4.184B | $0.0239 | 3× | Medium | Evidence ↓ | |
| Ollama Pro | Ollama | Subscription | $20/mo | 0.837B | $0.0239 | 3× | Medium | Evidence ↓ | |
| Command Code GOAT | Command Code | Subscription | $10/mo | 0.279B | $0.03586 | 2× | 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.
OpenCode GoOpenCode$0.0119503/MTok
- Plan
- OpenCode Go · OpenCode
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.0119503
- Monthly tokens
- 836,800,000 (0.837B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 836,800,000 tokens × 1,000,000 ≈ $0.0119503 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.06 / $0.3 / $1.2 · standard-load blended ≈ $0.0717/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)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
Added 836.8M: min(shared monthly pool $60, model Usage $60) ÷ project standard-workload weighted price; single official tier. 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/goat-opencode-catalogs-round3-2026-09-30.jsonopencode-go-round5-2026-09-06.jsonBrowse the public evidence archive
MiniMax Token Plan PlusMiniMax$0.0120475/MTok
- Data date
- 2026-06-01 · derived; uses the data date of MiniMax Token Plan Plus · minimax-m3
- Real price / MTok
- $0.0120475
- Monthly tokens
- 600,000,000 (0.6B)
- Quota confidence
- Medium
- Calculation
- $7.23 / month (¥49) ÷ 600,000,000 tokens × 1,000,000 ≈ $0.0120475 / MTok
- Quota basis
Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is
Official API list (cached / in / out, per MTok): $0.06 / $0.3 / $1.2 · standard-load blended ≈ $0.0717/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)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 minimax-m3 600M × 1.0
same price as M3; not workload-normalized: official absolute token table, no workload applied; 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
https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.htmlBrowse the public evidence archive
MiniMax Token Plan Plus (Global)MiniMax$0.0129412/MTok
- Data date
- 2026-06-01 · derived; uses the data date of MiniMax Token Plan Plus (Global) · minimax-m3
- Real price / MTok
- $0.0129412
- Monthly tokens
- 1,700,000,000 (1.7B)
- Quota confidence
- Medium
- Calculation
- $22 / month ÷ 1,700,000,000 tokens × 1,000,000 ≈ $0.0129412 / MTok
- Quota basis
Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is
Official API list (cached / in / out, per MTok): $0.06 / $0.3 / $1.2 · standard-load blended ≈ $0.0717/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)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 minimax-m3 1.7B × 1.0
same price as M3; not workload-normalized: official absolute token table, no workload applied
Ollama MaxOllama$0.0239/MTok
- Plan
- Ollama Max · Ollama
- Data date
- 2026-09-06 · official source date
- Real price / MTok
- $0.0239
- Monthly tokens
- 4,184,100,000 (4.184B)
- Quota confidence
- Medium
- Calculation
- $100 / month ÷ 4,184,100,000 tokens × 1,000,000 ≈ $0.0239 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.06 / $0.3 / $1.2 · standard-load blended ≈ $0.0717/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)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 4.1841B: 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$0.0239006/MTok
- Plan
- Ollama Pro · Ollama
- Data date
- 2026-09-06 · official source date
- Real price / MTok
- $0.0239006
- Monthly tokens
- 836,800,000 (0.837B)
- Quota confidence
- Medium
- Calculation
- $20 / month ÷ 836,800,000 tokens × 1,000,000 ≈ $0.0239006 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.06 / $0.3 / $1.2 · standard-load blended ≈ $0.0717/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)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 836.8M: 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$0.0358551/MTok
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.0358551
- Monthly tokens
- 278,900,000 (0.279B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 278,900,000 tokens × 1,000,000 ≈ $0.0358551 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.06 / $0.3 / $1.2 · standard-load blended ≈ $0.0717/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)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 278.9M: 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
MiniMax M2.7 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 | 22.76 | #56 / 60 | MiniMax-M2.7 | — | — | 1 | 2026-10-01 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 0 | #49 / 53 | Artificial Analysis - MiniMax-M2.7 | — | Artificial Analysis | 1 | 2026-10-01 |
| Code Arena | WebDev Overall | Arena Score | 1,397 | #52 / 54 | minimax-m2.7 | — | — | 1 | 2026-09-30 |
Every archived configuration
Artificial Analysis Intelligence Index v4.3 1 configuration
Terminal-Bench 4.0 (AA) 1 configuration
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| Artificial Analysis - MiniMax-M2.7AA'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. | 0 | — | 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.
MiniMax M2.7 official API pricing
| Cached input | Input | Output |
|---|---|---|
| $0.06 | $0.3 | $1.2 |
Frequently asked questions
How much does MiniMax M2.7 really cost per million tokens?
Measured as monthly fee ÷ tokens you can actually use, MiniMax M2.7 ranges from $0.01195 (OpenCode Go) to $0.03586 (Command Code GOAT) per million tokens.
Which subscription gives the most MiniMax M2.7 usage?
Ollama Max allows roughly 4.184B tokens of MiniMax M2.7 per month for $100.
What is the official API price of MiniMax M2.7?
Official API list price per million tokens: $0.06 cached input, $0.3 input, $1.2 output — about $0.0717 per million tokens on a standard workload mix.
How does MiniMax M2.7 score on independent leaderboards?
MiniMax M2.7 has scores on 3 leaderboards; its strongest placement is 0 (Resolution Rate %) on Terminal-Bench 4.0 (AA), #49 of 53 models tracked.
Who makes MiniMax M2.7, and where can I use it?
MiniMax M2.7 (model ID minimax-m2.7) is made by MiniMax and is available through Command Code, MiniMax, Ollama, OpenCode.
More MiniMax models
| Model | Lowest real $/MTok | Cheapest plan | Plans |
|---|---|---|---|
| MiniMax M3.1 Flash Preview | $0.00301 | MiniMax M Plan Build (CN Annual) | 6 |
| MiniMax M3 | $0.00594 | Droid Max | 11 |
| MiniMax M2.5 | $0.0213 | Command Code GOAT | 1 |