MiniMax M3 pricing: real cost per million tokens
What MiniMax's MiniMax M3 really costs across 11 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 MiniMax M3 is Droid Max at a real cost of about $0.00594 per million tokens ($200/month for roughly 33.68B tokens a month). We track 11 plans and API channels that serve MiniMax M3. 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
- $0.00594/MTokDroid Max
- API list price
- $0.0717/MTokstandard workload mix
- Most monthly tokens
- 33.68BDroid Max
- Plans & APIs
- 1111 subscriptions · 0 metered APIs
Plot MiniMax M3 on the price–capability chart →
MiniMax M3 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 | |
|---|---|---|---|---|---|---|---|---|---|
| Droid Max | Factory | Subscription | $200/mo | 33.68B | $0.00594 | 12.1× | Medium | Evidence ↓ | |
| MiniMax Token Plan Ultra | MiniMax | Subscription | $69.19/mo | 7.1B | $0.00974 | 7.4× | High | Evidence ↓ | |
| MiniMax Token Plan Max | MiniMax | Subscription | $17.55/mo | 1.8B | $0.00975 | 7.4× | High | Evidence ↓ | |
| MiniMax Token Plan Max (Global) | MiniMax | Subscription | $55/mo | 5.1B | $0.01078 | 6.6× | High | Evidence ↓ | |
| 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× | High | Evidence ↓ | |
| MiniMax Token Plan Plus (Global) | MiniMax | Subscription | $22/mo | 1.7B | $0.01294 | 5.5× | High | Evidence ↓ | |
| MiniMax Token Plan Ultra (Global) | MiniMax | Subscription | $132/mo | 9.8B | $0.01347 | 5.3× | High | Evidence ↓ | |
| Command Code GOAT | Command Code | Subscription | $10/mo | 0.656B | $0.01526 | 4.7× | Medium | Evidence ↓ | |
| Ollama Max | Ollama | Subscription | $100/mo | 2.092B | $0.0478 | 1.5× | Medium | Evidence ↓ | |
| Ollama Pro | Ollama | Subscription | $20/mo | 0.418B | $0.0478 | 1.5× | 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.
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): $0.06 / $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)
Agent Arena · Overall (Ranking / Pareto): 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× / minimax-m3 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
MiniMax Token Plan UltraMiniMax$0.00974469/MTok
- Data date
- 2026-08-19 · official source date
- Real price / MTok
- $0.00974469
- Monthly tokens
- 7,100,000,000 (7.1B)
- Quota confidence
- High
- Calculation
- $69.19 / month (¥469) ÷ 7,100,000,000 tokens × 1,000,000 ≈ $0.00974469 / 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)
Agent Arena · Overall (Ranking / Pareto): 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)
platform.minimaxi.com migration note 2026-08-19
5.5B at launch, 7.1B after migration; 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 MaxMiniMax$0.00975277/MTok
- Data date
- 2026-06-01 · official source date
- Real price / MTok
- $0.00975277
- Monthly tokens
- 1,800,000,000 (1.8B)
- Quota confidence
- High
- Calculation
- $17.55 / month (¥119) ÷ 1,800,000,000 tokens × 1,000,000 ≈ $0.00975277 / 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)
Agent Arena · Overall (Ranking / Pareto): 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)
minimaxi.com/blog/minimax-m3 official
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 Max (Global)MiniMax$0.0107843/MTok
- Data date
- 2026-06-01 · official source date
- Real price / MTok
- $0.0107843
- Monthly tokens
- 5,100,000,000 (5.1B)
- Quota confidence
- High
- Calculation
- $55 / month ÷ 5,100,000,000 tokens × 1,000,000 ≈ $0.0107843 / 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)
Agent Arena · Overall (Ranking / Pareto): 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)
minimax.io/blog/minimax-m3 official
$50 at launch; not workload-normalized: official absolute token table, no workload applied
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)
Agent Arena · Overall (Ranking / Pareto): 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: 907.2M (request estimate)→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 · official source date
- Real price / MTok
- $0.0120475
- Monthly tokens
- 600,000,000 (0.6B)
- Quota confidence
- High
- 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)
Agent Arena · Overall (Ranking / Pareto): 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)
minimaxi.com/blog/minimax-m3 official
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 · official source date
- Real price / MTok
- $0.0129412
- Monthly tokens
- 1,700,000,000 (1.7B)
- Quota confidence
- High
- 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)
Agent Arena · Overall (Ranking / Pareto): 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)
minimax.io/blog/minimax-m3 official
$20 at launch, now $22, no allowance change seen; not workload-normalized: official absolute token table, no workload applied
MiniMax Token Plan Ultra (Global)MiniMax$0.0134694/MTok
- Data date
- 2026-06-01 · official source date
- Real price / MTok
- $0.0134694
- Monthly tokens
- 9,800,000,000 (9.8B)
- Quota confidence
- High
- Calculation
- $132 / month ÷ 9,800,000,000 tokens × 1,000,000 ≈ $0.0134694 / 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)
Agent Arena · Overall (Ranking / Pareto): 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)
minimax.io/blog/minimax-m3 official
$120 at launch; not workload-normalized: official absolute token table, no workload applied
Command Code GOATCommand Code$0.0152555/MTok
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.0152555
- Monthly tokens
- 655,500,000 (0.656B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 655,500,000 tokens × 1,000,000 ≈ $0.0152555 / 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)
Agent Arena · Overall (Ranking / Pareto): 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 655.5M: min(shared monthly pool $70, model allowance $47) ÷ project standard-workload weighted price; official-page deal/discount three-part pricing (-50% type). 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
Ollama MaxOllama$0.0477989/MTok
- Plan
- Ollama Max · Ollama
- Data date
- 2026-09-06 · official source date
- Real price / MTok
- $0.0477989
- Monthly tokens
- 2,092,100,000 (2.092B)
- Quota confidence
- Medium
- Calculation
- $100 / month ÷ 2,092,100,000 tokens × 1,000,000 ≈ $0.0477989 / 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)
Agent Arena · Overall (Ranking / Pareto): 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 2.0921B: shared monthly pool $300 ÷ project standard-workload weighted price; official three-part pricing (Ollama's list price is about 2× the usual OpenCode/Command deal price; this channel's price table used). 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$0.0478011/MTok
- Plan
- Ollama Pro · Ollama
- Data date
- 2026-09-06 · official source date
- Real price / MTok
- $0.0478011
- Monthly tokens
- 418,400,000 (0.418B)
- Quota confidence
- Medium
- Calculation
- $20 / month ÷ 418,400,000 tokens × 1,000,000 ≈ $0.0478011 / 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)
Agent Arena · Overall (Ranking / Pareto): 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 418.4M: shared monthly pool $60 ÷ project standard-workload weighted price; official three-part pricing (Ollama's list price is about 2× the usual OpenCode/Command deal price; this channel's price table used). 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
MiniMax M3 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 | 29.22 | #40 / 60 | MiniMax-M3 | — | — | 1 | 2026-10-01 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 2.02 | #38 / 53 | Artificial Analysis - MiniMax-M3 | — | Artificial Analysis | 1 | 2026-10-01 |
| Code Arena | WebDev Overall | Arena Score | 1,482 | #41 / 54 | minimax-m3 | — | — | 1 | 2026-09-30 |
| Agent Arena · Overall (Ranking / Pareto) | Net Improvement % | -6.71 | #32 / 39 | Minimax M3 | — | — | 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-M3AA'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
Agent Arena · Overall (Ranking / Pareto) 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 M3 official API pricing
| Cached input | Input | Output |
|---|---|---|
| $0.06 | $0.3 | $1.2 |
Frequently asked questions
How much does MiniMax M3 really cost per million tokens?
Measured as monthly fee ÷ tokens you can actually use, MiniMax M3 ranges from $0.00594 (Droid Max) to $0.0478 (Ollama Pro) per million tokens.
Which subscription gives the most MiniMax M3 usage?
Droid Max allows roughly 33.68B tokens of MiniMax M3 per month for $200.
What is the official API price of MiniMax M3?
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 M3 score on independent leaderboards?
MiniMax M3 has scores on 4 leaderboards; its strongest placement is 29.22 (Intelligence Index) on Artificial Analysis Intelligence Index v4.3, #40 of 60 models tracked.
Who makes MiniMax M3, and where can I use it?
MiniMax M3 (model ID minimax-m3) is made by MiniMax and is available through Command Code, Factory, 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 M2.7 | $0.01195 | OpenCode Go | 6 |
| MiniMax M2.5 | $0.0213 | Command Code GOAT | 1 |