MiMo-V2.5-Pro
by Xiaomixiaomi/mimo-v2.5-pro
MiMo-V2.5-Pro is deprecated. Xiaomi retires this model on 21 Oct 2026.
LLMCompare cannot run MiMo-V2.5-Pro yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowMiMo-V2.5-Pro at a glance
- Context length
- 1,050,000 tokens
- Maximum output
- 945,000 tokens
- Accepts
- Text
- Returns
- Text
- Features
- JSON outputTool callingPrompt caching
- Reasoning effort levels
- Not supported
- Released
- 22 Apr 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
MiMo-V2.5-Pro pricing by route
A route is the service LLMCompare calls to reach the model. MiMo-V2.5-Pro has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.3045 | $0.609 | $0.0028 | openrouter.ai/xiaomi/mimo-v2.5-pro |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to MiMo-V2.5-Pro costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
- Cost per call
- $0.00061
- 1 credits
- Cost of 100 calls
- $0.0609
- 100 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 945,000 | Provider default |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About MiMo-V2.5-Pro
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....
Description as published for this model. LLMCompare has not edited it.
Models to compare with MiMo-V2.5-Pro
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
MiMo-V2.6-ProXiaomixiaomi/mimo-v2.6-pro | 1.05M | 131k | $0.435 | $0.87 | JSONToolsCacheVision | No route yet | ||
MiMo-V2.6-FlashXiaomixiaomi/mimo-v2.6-flash | 1.05M | 131k | $0.14 | $0.28 | JSONToolsCacheVision | No route yet | ||
MiMo-V2.6-Pro-UltraSpeedXiaomixiaomi/mimo-v2.6-pro-ultraspeed | 1.05M | 131k | $4.35 | $8.70 | JSONToolsCacheVision | No route yet | ||
Qwen3 Coder NextQwenqwen/qwen3-coder-next | 262k | 236k | $0.12 | $0.80 | JSONToolsCache | No route yet | ||
Mistral Small 3.1 24BMistralmistralai/mistral-small-3.1-24b-instruct | 128k | 102k | $0.351 | $0.555 | JSONToolsVision | No route yet | ||
DeepSeek V4 Flash Vision ExpDeepSeekdeepseek/deepseek-v4-flash-vision-exp | 1.05M | 262k | $0.2156 | $0.6468 | ReasoningJSONToolsCacheVision | No route yet |
Questions about MiMo-V2.5-Pro
- How much does MiMo-V2.5-Pro cost?
- On the OpenRouter route, MiMo-V2.5-Pro costs $0.3045 per 1 million input tokens and $0.609 per 1 million output tokens, in US dollars. Input tokens that MiMo-V2.5-Pro reads from the prompt cache cost $0.0028 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of MiMo-V2.5-Pro?
- MiMo-V2.5-Pro has a context length of 1,050,000 tokens and returns up to 945,000 output tokens in one call.
- What inputs does MiMo-V2.5-Pro accept?
- MiMo-V2.5-Pro accepts these inputs: Text. MiMo-V2.5-Pro returns: Text.
- Can I test MiMo-V2.5-Pro on my own data?
- Not yet. LLMCompare lists the prices and parameters of MiMo-V2.5-Pro, but no route to MiMo-V2.5-Pro is configured on LLMCompare, so it cannot be selected for an evaluation.