MiniMax-M2.7 by MiniMax demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.
General Benchmarks
Artificial Analysis composite intelligence score across 10 sub-benchmarks
Artificial Analysis (via OpenRouter)Coding Benchmarks
Human preference ELO for building things — websites, UI, games, charts, SVG
Design Arena (via OpenRouter)Artificial Analysis composite coding score
Artificial Analysis (via OpenRouter)Human preference ELO for building a working web page from a brief
Design Arena (via OpenRouter)Reasoning Benchmarks
Artificial Analysis composite score for multi-step tool-using tasks
Artificial Analysis (via OpenRouter)Multi-turn service agent making tool calls under strict policy constraints
OpenRouter (measured)Cost Benchmarks
Cost per 1M cached input tokens — the price that actually applies to a long agent conversation
OpenRouter APIContext Benchmarks
Available from 43 providers
The same model costs different amounts depending on who serves it. You can bring your own key for 6 of these — connect it here.
| Provider | Input / 1M | Output / 1M | Cached in | Context | Your key |
|---|---|---|---|---|---|
| Kenari | $0 | $0 | — | 205K | — |
| MiniMax Token Plan (minimaxi.com) | $0 | $0 | $0 | 205K | — |
| MiniMax Token Plan (minimax.io) | $0 | $0 | $0 | 205K | — |
| Nvidia | $0 | $0 | — | 205K | — |
| SCNet Token Plan | $0 | $0 | $0 | 205K | — |
| UnoRouter | $0 | $0 | — | 205K | — |
| DevPass (LLM Gateway) | $0.08 | $0.32 | $0.017 | 205K | — |
| EmpirioLabs AI | $0.15 | $0.6 | $0.03 | 200K | — |
| Deep Infra | $0.25 | $1 | $0.05 | 197K | Supported |
| Pioneer | $0.279 | $1.2 | $0.279 | 205K | — |
| 302.AI | $0.3 | $1.2 | — | 205K | — |
| Abacus | $0.3 | $1.2 | — | 205K | — |
| AIHubMix | $0.3 | $1.2 | $0.06 | 205K | — |
| Alibaba (China) | $0.3 | $1.2 | $0.06 | 205K | — |
| Auriko | $0.3 | $1.2 | — | 205K | — |
| Eden AI | $0.3 | $1.2 | $0.06 | 205K | — |
| FastRouter | $0.3 | $1.2 | — | 205K | — |
| FrogBot | $0.3 | $1.2 | $0.06 | 192K | — |
| GMI Cloud | $0.3 | $1.2 | $0.06 | 197K | — |
| Hugging Face | $0.3 | $1.2 | $0.06 | 205K | Supported |
| Kilo Gateway | $0.3 | $1.2 | $0.06 | 205K | — |
| LLM Gateway | $0.3 | $1.2 | $0.06 | 200K | — |
| Merge Gateway | $0.3 | $1.2 | $0.06 | 205K | — |
| MiniMax (minimaxi.com) | $0.3 | $1.2 | $0.06 | 205K | — |
| MiniMax (minimax.io) | $0.3 | $1.2 | $0.06 | 205K | Supported |
| NovitaAI | $0.3 | $1.2 | $0.06 | 205K | — |
| Ofox | $0.3 | $1.2 | $0.06 | 205K | — |
| OpenCode Go | $0.3 | $1.2 | $0.06 | 205K | — |
| OpenCode Zen | $0.3 | $1.2 | $0.06 | 205K | — |
| OpenRouter | $0.3 | $1.2 | $0.06 | 205K | Supported |
| OrcaRouter | $0.3 | $1.2 | $0.06 | 205K | — |
| Requesty | $0.3 | $1.2 | $0.06 | 200K | — |
| Together AI | $0.3 | $1.2 | $0.06 | 203K | Supported |
| Vercel AI Gateway | $0.3 | $1.2 | $0.06 | 205K | Supported |
| Vultr | $0.3 | $1.2 | — | 205K | — |
| ZenMux | $0.3055 | $1.2219 | — | 205K | — |
| NanoGPT | $0.315 | $1.26 | $0.1575 | 205K | — |
| CrossModel | $0.33 | $1.32 | $0.066 | 205K | — |
| Venice AI | $0.375 | $1.5 | $0.06875 | 198K | — |
| Charm Hyper | $0.396 | $1.464 | $0.198 | 262K | — |
| SCX.ai | $0.48 | $1.79 | $0.05 | 197K | — |
| Cortecs | $0.668 | $2.674 | — | 197K | — |
| Ollama Cloud | — | — | — | 197K | — |
MiniMax-M2.7 — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
Compare MiniMax-M2.7 With
MiniMax-M2.7 — Frequently Asked Questions
How much does MiniMax-M2.7 cost?
MiniMax-M2.7 costs $0.30 per 1M input tokens and $1.2 per 1M output tokens. This makes it one of the more affordable models.
What is the context window of MiniMax-M2.7?
MiniMax-M2.7 has a context window of 205K tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created MiniMax-M2.7?
MiniMax-M2.7 was created by MiniMax. It is classified as a open source model in our catalogue.
Is MiniMax-M2.7 open source?
Yes, MiniMax-M2.7 is an open-source model. The model weights are publicly available for download and self-hosting.