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MiMo-V2.5

open weights
Xiaomi · released 2026-04-22 · 6 offers

Output 31 tokens/sFirst token 2.3 sContext 1M tokens

Top 3 cheapest providers (Adjusted $/task)

The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.

Within the active global provider, residency and confidentiality filters.

#ProviderAdjusted $/task
1DeepInfra
2Novita
3Venice

Composite

2 of 7 inputs6 radar axes: DesignArena's two boards share one

54.5

includes −6.1 for its Benchmaxxing signal (from 60.6; why, switch off in Options)

Benchmaxxing signal +6.1, medium Benchmaxxing tag, uncertain: The 80 % interval reaches below zero — treat this tag as uncertain · medium report →The 80 % interval reaches below zero — treat this tag as uncertain.

AA CodingCoding Agent v1.4AA IntelligenceAA AgenticEpoch ECISoftware ECIDesignArenaAA Coding: percentile 65AA Intelligence: percentile 74AA Agentic: percentile 50

AA Coding 56.8Coding Agent v1.4 AA Intelligence 22.3AA Agentic 17.4Epoch ECI Software ECI DesignArena —/—

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

31 of 140 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

Compare this model →

Agentic

  • AA-Briefcase36751 Elo

    AA-Briefcase published 2026-09-10 · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

  • GDPval-AA v2541,079 Elo

    GDPval-AA v2 v2 · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Terminal-Bench Hard (AA)8841.7%

    Terminal-Bench Hard (AA) pinned revision 74221fb · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

  • Terminal-Bench v2.1 (AA)6263.7%

    Terminal-Bench v2.1 (AA) v2.1 · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.

  • Terminal-Bench v4.0 (AA)180.0%

    Terminal-Bench v4.0 (AA) v4.0 · Published board — Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

  • Vals Index v2 (Vals AI)1339.9%

    Vals Index v2 (Vals AI) v2 · Published board — GDP-weighted average of agentic model performance across finance, coding and legal tasks.

  • Finance Agent v2 (Vals Index v2)336.7%

    Finance Agent v2 (Vals Index v2) v2 · Published board — Multi-step financial reasoning tasks.

  • Terminal-Bench 2.1 (Vals Index v2)3060.7%

    Terminal-Bench 2.1 (Vals Index v2) v2 · Published board — Command-line interface problem solving, as run by Vals AI.

  • HLAB — Harvey's Legal Agent Benchmark (Vals Index v2)171.7%

    HLAB — Harvey's Legal Agent Benchmark (Vals Index v2) v2 · Published board — Long-horizon legal work product creation. Vals AI's run of Harvey's Legal Agent Benchmark, reported as accuracy — not comparable with Artificial Analysis' Harvey LAB-AA row.

  • τ²-Bench Airline (OpenRouter run)5070.7%

    τ²-Bench Airline (OpenRouter run) published 2026-09-15 · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)

  • AA Agentic Index5017.4

    AA Agentic Index published 2026-09-18 · Published board — Artificial Analysis publishes one Agentic Index per model, measured on its primary configuration and relayed by OpenRouter's Benchmarks API; the value is attached at family scope on the deterministic representative. Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

Coding

Efficiency

Instruction-following

Knowledge

Long-context

  • GDP.pdf (AA)284.0%

    GDP.pdf (AA) published 2026-09-10 · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.

  • AA-LCR v1.17373.0%

    AA-LCR v1.1 v1.1 · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

Reasoning

Science

Tool-use

Vision

Unusual results

2 threshold-crossing signals flagged · 32 eligible benchmark families

How flags are calculated

Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.

  • unusually weak Legal Research Bench (Vals Index v2)
    Why
    Observed: 9.135 percent
    Peer mean 36.58215 · peer sd 12.01783 · n 33 · families 32
    Directed z -2.284 · baseline z 0.043 · gap -2.327 · profile n 31
    9.135 percentmeasuredobserved 2026-09-18vals.ai
    Evidence
    Axis: Legal Research Bench (Vals Index v2) · v2 · Published board
    Exact value: 9.135 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:3d3966b5c34d71c30985247a
  • unusually weak Finance Agent v2 (Vals Index v2)
    Why
    Observed: 36.728 percent
    Peer mean 51.81084 · peer sd 7.87265 · n 31 · families 30
    Directed z -1.916 · baseline z 0.031 · gap -1.947 · profile n 31
    36.728 percentmeasuredobserved 2026-09-18vals.ai
    Evidence
    Axis: Finance Agent v2 (Vals Index v2) · v2 · Published board
    Exact value: 36.728 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:ccbc4ee4c895c51ae6e055b9
Missing coverage · 112 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Token offers by platform · 3 offers (Adjusted $/task)

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3 offers within the active global filters; “—” means the catalog is active but no public token price is available.

OpenRouter (3)

DeepInfra
Novita
Venice
MiMo-V2.5 — benchmarks & cost | Benchmark Heaven