minimax-m2.7-highspeedMiniMax
- api
- chat
- hosting
- Singapore
- model lab
- MiniMax
- weights
- open
- added
- March 2026
- model id
- minimaxi/minimax-m2.7-highspeed
capabilities 4/8
2 providers serve minimax-m2.7-highspeed. This page is one of them. Compare all endpoints
- input
- $0.60
- output
- $2.40
- cache write
- $1.20
- cache read
- $0.06
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.0840 |
| 1M in + 100K out | $0.84 |
| 10M in + 1M out | $8.40 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
no measured traffic for this endpoint yet. pricing above is the provider's own
no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results
- retention
- none
- trains on prompts
- no
- hosted in
- Singapore
Terms are the provider's, not Requesty's: routing a request here puts it under them. MiniMax Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
minimaxi/minimax-m2.7-highspeedthis id pins the minimax deployment, with no routing and no failover. the managed id on the canonical page routes across all 2 providers instead
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="minimaxi/minimax-m2.7-highspeed", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
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 collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments. Trained for production-grade performance, M2.7 handles workflows such as live debugging, root cause analysis, financial modeling, and full document generation across Word, Excel, and PowerPoint. It delivers strong results on benchmarks including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while achieving a 1495 ELO on GDPval-AA, setting a new standard for multi-agent systems operating in real-world digital workflows.
questions 5
How much does minimax-m2.7-highspeed cost?
What is the context window of minimax-m2.7-highspeed?
What can minimax-m2.7-highspeed do?
How do I use minimax-m2.7-highspeed with the OpenAI SDK?
Can I run minimax-m2.7-highspeed through Requesty?
more from minimax 5
| endpoint | ctx | in /M |
|---|---|---|
| minimax-m3 | 1M | $0.30 |
| minimax-m2.7 | 200K | $0.30 |
| minimax-m2.5 | 200K | $0.30 |
| minimax-m2.5-highspeed | 200K | $0.60 |
| minimax-m2 | 200K | $0.30 |
call minimax-m2.7-highspeed through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology