MiniMax M2.7 pricing, context and benchmark
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.
Everything that matters, in one table
Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.
| Model | MiniMax M2.7 |
| Model ID | minimax/minimax-m2.7 |
| Provider | MiniMax |
| Release date | 18 March 2026 |
| Status | Generally available |
| Input context | 196,608 tokens |
| Output context | 176,947 tokens |
| Official input pricing | $0.21 per 1M tokens |
| Official output pricing | $0.84 per 1M tokens |
| Cache read pricing | $0.06 per 1M tokens (80% off input) |
| Market input pricing | $0.21 per 1M (cheapest route) |
| Market output pricing | $0.84 per 1M (cheapest route) |
| Highest route pricing | $0.6 in, $1.8 out per 1M |
| Input modalities | text |
| Output modalities | text |
| Reasoning control | Not exposed |
| Tool support | Text generation only |
| Tokenizer | Other |
| Provider routes | 2 endpoints |
| Artificial Analysis index | Not published |
| Speed | 50 tokens/s, 32.94s to first token |
| Knowledge cutoff | Not publicly stated |
Input and output support
| Modality | Input | Output | Billed at |
|---|---|---|---|
| Text | ✓ yes | ✓ yes | $0.21 in |
| Image | no | no | not supported |
| Audio | no | no | not supported |
| Video | no | no | not supported |
| File (PDF) | no | no | not supported |
What is MiniMax M2.7?
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.
Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
MiniMax M2.7 carries a 197K token window, uses the Other tokenizer and is served by MiniMax. On Hoodgen it sits in the Fast tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.
Release and what changed from the previous version
This is the only release of MiniMax M2.7 on OpenRouter, released 18 March 2026. The provider has not published a knowledge cutoff, so treat training data as recent but unconfirmed for very new events.
Features and capabilities
What can you do with MiniMax M2.7?
Prompt caching and how to cut the bill
Cached input bills at $0.06 per million instead of $0.21, a 80% discount. Keep the system prompt and documents first and the changing question last, so every call hits the cache.
MiniMax M2.7 pricing
Official pricing
- $0.06 cached input
- 197K context
- text input
- 2 routes on OpenRouter
- What Hoodgen routes to first
- Same model, lower bill
- Priority or premium tier
- Best under load
- Use for latency critical calls
Market pricing, every route
| Provider | Tier | Input | Output | Cache read | Uptime 24h |
|---|---|---|---|---|---|
| GMICloud | standard | $0.21 | $0.84 | $0.042 | 100.0% |
| Groq | standard | $0.6 | $1.8 | n/a | 99.7% |
API pricing and cost calculator
| Rate | Per call | Total | Credits |
|---|---|---|---|
| Cheapest route | $0.0034 | $1.72 | 1636 |
| List price | $0.0037 | $1.83 | 1739 |
| Highest route | $0.0147 | $7.35 | 6983 |
API and developer information
| Model ID | minimax/minimax-m2.7 |
| Endpoint | https://openrouter.ai/api/v1/chat/completions |
| Parameters | prompt and max_tokens |
| Streaming | Yes, server sent events |
| Modality string | text->text |
| Max prompt tokens | 196,608 |
| Max completion tokens | 176,947 |
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/minimax-m2.7",
"messages": [{ "role": "user", "content": "Summarise this document." }],
"max_tokens": 1024
}'Model limitations
| Text only output | It cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals. |
| Output cap | 176,947 tokens per request. Long deliverables have to be chunked. |
| Benchmarks not published | Artificial Analysis does not publish an Intelligence Index for this release, so no benchmark score is claimed here. |
| Knowledge cutoff | The provider does not state a fixed cutoff for every release. Verify very recent events against search. |
| Depth ceiling | Fast tier: strong on throughput, weaker than flagship tiers on long multi step reasoning. |
MiniMax M2.7 vs other MiniMax models
| Model | Context | Input /1M | Output /1M | AA index | Released |
|---|---|---|---|---|---|
| MiniMax M2.7 | 197K | $0.21 | $0.84 | n/a | 2026 |
| MiniMax M3.1 Flash | 1.05M | $0.135 | $0.54 | 29 | Oct 2026 |
Privacy and data policy
- On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
- Requests route through OpenRouter to MiniMax and are covered by that provider's API terms.
- Do not paste secrets or personal data you would not send to any hosted model.
MiniMax M2.7 questions, answered
Start chatting with MiniMax M2.7
Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.