MiniMax M2.7
M2.7 delivers outstanding performance in real-world software engineering, including end-to-end full project delivery, log analysis and bug troubleshooting, code security, machine learning, and more.
text → text · made by MiniMax
Sold by 36 ways
| Seller | Lane | Rate |
|---|---|---|
| MiniMax api | standard | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cached$0.38per Mtok cache writeplatform.minimax.io · read 2026-08-25 |
| MiniMax api | fast | $0.6per Mtok in$2.4per Mtok out$0.06per Mtok cached$0.38per Mtok cache writeplatform.minimax.io · read 2026-08-25 |
| ElectronHub aggregator | standard | $0.15per Mtok in$0.6per Mtok outapi.electronhub.ai · read 2026-10-31 |
| OpenRouter 8 ways | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cached | |
| OpenRouter aggregator | gmicloud/fp8 | $0.21per Mtok in$0.84per Mtok out$0.042per Mtok cachedopenrouter.ai · read 2026-09-08 |
| OpenRouter aggregatornot on the seller's list today | mara | $0.24per Mtok in$0.96per Mtok out$0.024per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregatornot on the seller's list today | deepinfra/fp8 | $0.25per Mtok in$1per Mtok out$0.05per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | novita/fp8 | $0.27per Mtok in$1.08per Mtok out$0.054per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedopenrouter.ai · read 2026-10-13 |
| OpenRouter aggregator | atlas-cloud/fp8 | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedopenrouter.ai · read 2026-09-27 |
| OpenRouter aggregatornot on the seller's list today | fireworks | $0.3per Mtok in$1.2per Mtok out$0.059per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | minimax | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedopenrouter.ai · read 2026-10-27 |
| OpenRouter aggregator | minimax/fp8 | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedopenrouter.ai · read 2026-09-27 |
| OpenRouter aggregatornot on the seller's list today | deepinfra/turbo | $0.38per Mtok in$1.7per Mtok out$0.07per Mtok cachedopenrouter.ai · read 2026-08-26 |
| OpenRouter aggregator | groq | $0.6per Mtok in$1.8per Mtok outopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | minimax/highspeed | $0.6per Mtok in$2.4per Mtok out$0.06per Mtok cachedopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregatornot on the seller's list today | primeintellect | $0.6per Mtok in$2.4per Mtok outopenrouter.ai · read 2026-10-04 |
| OpenRouter aggregatornot on the seller's list today | sambanova | $0.6per Mtok in$2.4per Mtok out$0.06per Mtok cachedopenrouter.ai · read 2026-08-25 |
| DeepInfra aggregator | standard | $0.25per Mtok in$1per Mtok outapi.deepinfra.com · read 2026-08-25 |
| Hugging Face Inference Providers 3 ways | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cached | |
| Hugging Face Inference Providers aggregator | deepinfra | $0.25per Mtok in$1per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Hugging Face Inference Providers aggregator | standard | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedmodels.dev · read 2026-10-31 |
| Hugging Face Inference Providers aggregatornot on the seller's list today | fireworks-ai | $0.3per Mtok in$1.2per Mtok outrouter.huggingface.co · read 2026-08-25 |
| Hugging Face Inference Providers aggregator | novita | $0.3per Mtok in$1.2per Mtok outrouter.huggingface.co · read 2026-08-25 |
| AtlasCloud aggregator | standard | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedapi.atlascloud.ai · read 2026-09-20 |
| Featherless AI aggregator | standard | $0.3per Mtok in$1.2per Mtok outapi.featherless.ai · read 2026-09-20 |
| Fireworks AI aggregatornot on the seller's list today | standard | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cacheddocs.fireworks.ai · read 2026-08-24 |
| Fireworks AI aggregator | priority | $1.2per Mtok in$1.2per Mtok out$0.6per Mtok cachedraw.githubusercontent.com · read 2026-10-31 |
| Nous Research aggregator | standard | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedinference-api.nousresearch.com · read 2026-10-29 |
| Novita AI aggregator | standard | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedapi.novita.ai · read 2026-08-25 |
| Requesty 2 ways | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cached | |
| Requesty aggregatornot on the seller's list today | fireworks | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Requesty aggregator | minimaxi | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Requesty aggregator | novita | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Together AI aggregator | standard | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cachedmodels.dev · read 2026-10-31 |
| Vercel AI Gateway aggregator | standard | $0.3per Mtok in$1.2per Mtok out$0.06per Mtok cached$0.38per Mtok cache writeai-gateway.vercel.sh · read 2026-08-25 |
| Venice AI aggregator | standard | $0.38per Mtok in$1.5per Mtok out$0.069per Mtok cachedmodels.dev · read 2026-10-31 |
| SambaNova Cloud aggregator | standard | $0.6per Mtok in$2.4per Mtok out$0.06per Mtok cachedraw.githubusercontent.com · read 2026-10-31 |
| PPIO aggregator | standard | $2.1per Mtok in$8.4per Mtok outapi.ppinfra.com · read 2026-10-31 |
Measured 20 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 19thof 20 | Exploitbench — Epoch AI | Mean capability | 0.133 |
| 22ndof 23 | Gbaeval — Epoch AI | Overall score | 0 |
| 68thof 154 | Design Arena · dataviz (models) | Elo | 1233 |
| 71stof 169 | Design Arena · website (models) | Elo | 1241 |
| 72ndof 163 | Design Arena · codecategories (models) | Elo | 1232 |
| 73rdof 150 | Design Arena · 3d (models) | Elo | 1192 |
| 73rdof 93 | Design Arena · asciiart (models) | Elo | 1135 |
| 73rdof 162 | Design Arena · gamedev (models) | Elo | 1208 |
| 77thof 163 | Artificial Analysis · Coding Index | Index | 52.6 |
| 79thof 84 | Proofbench — Epoch AI | Accuracy | 3 |
| 80thof 131 | Artificial Analysis · Agentic Index | Index | 15.3 |
| 80thof 157 | Design Arena · uicomponent (models) | Elo | 1205 |
| 80thof 202 | Terminalbench — Epoch AI | Accuracy mean | 0.451 |
| 81stof 114 | Design Arena · svg (models) | Elo | 1133 |
| 88thof 135 | Webdev arena — Epoch AI | Arena Score | 1397.52 |
| 89thof 111 | Vectara Hallucination Leaderboard | Hallucination Rate | 12.9 |
| 102ndof 132 | Ale bench — Epoch AI | Performance | 599.25 |
| 118thof 235 | Scicode — Epoch AI | Score | 50.116 |
| 134thof 173 | Weirdml — Epoch AI | Accuracy | 36.95 |
| 184thof 260 | Critpt — Epoch AI | Accuracy | 0.571 |
About
MiniMax M2.7 — a text model from MiniMax, sold by 16 companies from $0.15 in and $0.6 out per million tokens, placed 80th of 202 on Terminalbench — Epoch AI.
It takes text and returns text, with a context window of 204,800 tokens. It was published in March 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under chat. Sixteen companies sell it. The cheapest is $0.15 in and $0.6 out per million tokens at ElectronHub. Beside the standard rate there are faster, separately routed and regional lanes. It has been measured on 20 boards, and stands best at 80th of 202 on Terminalbench — Epoch AI.
Every current figure
- Maker
- MiniMax
- Register
- model
- Takes
- text
- Returns
- text
- Context
- 204,800 tokens
- Longest answer
- 196,608 tokens
- Published
- March 2026
- Parameters
- 229 billion
- Licence
- not read
- Sellers
- 16
- Price
- $0.15 in and $0.6 out per million tokens — ElectronHub
- Boards
- 20
- Best place
- 80th of 202 — Terminalbench — Epoch AI
Known as 7 names
minimaxai/minimax-m2.7fireworks/minimax-m2p7MiniMax-M2.7minimax/minimax-m2.7fireworks/minimax-m2.7minimaxi/minimax-m2.7novita/minimax/minimax-m2.7