minimax-m2.5-highspeedMiniMax
- api
- chat
- hosting
- Singapore
- model lab
- MiniMax
- weights
- open
- added
- February 2026
- model id
- minimaxi/minimax-m2.5-highspeed
capabilities 4/8
- input
- $0.60
- output
- $2.40
- cache write
- $2.40
- 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-m2.5-highspeedthis id pins the minimax deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 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-m2.5-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-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.
questions 5
How much does minimax-m2.5-highspeed cost?
What is the context window of minimax-m2.5-highspeed?
What can minimax-m2.5-highspeed do?
How do I use minimax-m2.5-highspeed with the OpenAI SDK?
Can I run minimax-m2.5-highspeed through Requesty?
more from minimax 5
| endpoint | ctx | in /M |
|---|---|---|
| minimax-m3 | 1M | $0.30 |
| minimax-m2.7-highspeed | 200K | $0.60 |
| minimax-m2.7 | 200K | $0.30 |
| minimax-m2.5 | 200K | $0.30 |
| minimax-m2 | 200K | $0.30 |
call minimax-m2.5-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