Model detail
MiniMax-M2.5
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.
Model specs
- Model ID
-
MiniMax-M2.5
- Context length
- 204.8K
- Max output
- 32.768K
- I/O modalities
- Released
- 2026-02
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$0.3000 /1M Tokens
Completion
$1.2000 /1M Tokens
Cache read
$0.0600 /1M Tokens
Cache creation
$0.3750 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
SOTA large language model designed for real-world productivity
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity.
What should you check before using it?
204,800 context, 32,768 output tokens
Model type: text. Verify supported features and quotas with the provider documentation. Released 2026-02-12.
Why use it through MixRoute?
Swap the base URL, keep the MiniMax-M2.5 client
MixRoute serves MiniMax-M2.5 on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID MiniMax-M2.5 and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
MiniMax-M2.5 supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
MiniMax-M2.5 can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
MiniMax-M2.5 supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
MiniMax-M2.5 supports prompt caching under supported routing conditions.
OpenAI SDK
Call MiniMax-M2.5 through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
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FAQ
MiniMax-M2.5 sits alongside gpt-5.4-nano, gpt-5.3-codex, glm-4-0520 in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.