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....
Updated 9 h ago · first seen 11 Sept 2026
model_01M294WW0THY1JB2Y40QX7ZJ4S
Overview
Identity
Identity block not returned by the API for this entity.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Architecture
- Hugging Face repo
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Capabilities
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 9 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Benchmarks9
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
No benchmark results recorded
Providers & Pricing1
All offers in the price terminal →USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Price history
Output price · USD / 1M tokens 1 provider
- OpenRouter
- OpenRouterfirst observed $0.8711 Sept 2026
Input price · USD / 1M tokens 1 provider
- OpenRouter
- OpenRouterfirst observed $0.43511 Sept 2026
Timeline13
Full timeline →MiMo-V2.5-Pro: context length changed from 1000000 to 1050000
Context window1M tokens→1.05M tokensopenrouterMiMo-V2.5-Pro scores 43.18% on Terminal-Bench
artificial_analysisMiMo-V2.5-Pro scores 65.17% on Terminal-Bench
artificial_analysisMiMo-V2.5-Pro scores 0% on Terminal-Bench
artificial_analysisMiMo-V2.5-Pro scores 35.68% on Humanity's Last Exam
artificial_analysisMiMo-V2.5-Pro scores 26.41 on Artificial Analysis Intelligence Index
artificial_analysisMiMo-V2.5-Pro: context length changed from 1050000 to 1000000
Context window1.05M tokens→1M tokensartificial_analysisOpenRouter lists MiMo-V2.5-Pro at $0.435 in / $0.87 out per 1M tokens
openrouter
Change history17
Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Attributes as of 12 Sept 2026 19 claims in force
- Release date
- 22 Apr 2026
- Openness
- open-weights
- Context window
- 1.05M tokens
- Max output
- 131.1K tokens
- Modalities
- text
- Input modalities
- text
- Output modalities
- text
- Hugging Face repo
- XiaomiMiMo/MiMo-V2.5-Pro
- Aa context window
- 1,000,000
- Aa openness
- open-weights
- Aa median output tokens per second
- 42.4
- Openrouter id
- xiaomi/mimo-v2.5-pro
- Openrouter listed at
- 22 Apr 2026
- Reasoning
- Yes
- Structured output
- Yes
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
- Tool calling
- Yes
- Weights available
- Yes
Release daterelease_date1
Opennessopenness1
Context windowcontext_length3
Max outputmax_output_tokens1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Hugging Face repohf_repo1
Descriptiondescription1
Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1
Openrouter idopenrouter_id1
Reasoningreasoning1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
15
Source tiers
T215
Freshest observation
9 h ago
Conflicts
None
Source documents 2
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (56/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →