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MiniMax-M2.7

open weightsdeprecated by benchmark source
MiniMax · released 2026-03-18 · 9 offers

Context 205K tokens

Top 5 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
1Novita
2DeepInfra
3Mara
4SambaNova
5Groq

Composite

4 of 7 inputs · 2 from the model family6 radar axes: DesignArena's two boards share one

41.6

includes −11.1 for its Benchmaxxing signal (from 52.7; why, switch off in Options)

Benchmaxxing signal +11.1, medium Benchmaxxing tag · medium report →

AA CodingCoding Agent v1.4AA IntelligenceAA AgenticEpoch ECISoftware ECIDesignArenaAA Coding: percentile 60AA Intelligence: percentile 77AA Agentic: percentile 49Epoch ECI: percentile 37Software ECI: percentile 26

AA Coding 52.6Coding Agent v1.4 —AA Intelligence 23.2AA Agentic 16.8Epoch ECI 145.8Software ECI 145.9DesignArena —/—

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

Benchmark sheet

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

Composite attachments (used in the score, not counted as exact benchmarks):
  • Epoch ECI · attached
  • Software ECI · attached
Compare this model →

Agentic

  • AA-AnalystAgent1911.3%

    AA-AnalystAgent published 2026-09-10 ↗ · Published board — Tests analyst tasks using agentic Python execution across fourteen domains.

  • APEX-Agents-AA1410.6%

    APEX-Agents-AA published 2026-09-10 ↗ · Published board — Tests professional-service tasks that require agents to produce locally graded deliverables.

  • AA-Briefcase33715 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 v2551,087 Elo

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

  • ITBench-AA2826.5%

    ITBench-AA published 2026-09-10 ↗ · Published board — Tests root-cause diagnosis from offline Kubernetes incident snapshots.

  • Terminal-Bench Hard (AA)8739.4%

    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)5555.4%

    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)324.6%

    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)027.9%

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

  • Terminal-Bench 2.1 (Vals Index v2)348.7%

    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)00.0%

    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)5471.1%

    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 Index4916.8

    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

  • SciCode (AA subproblems) v1.0.15950.1%

    SciCode (AA subproblems) v1.0.1 ↗ · Published board — Tests scientific Python programming with scientist-annotated background information.

  • WeirdML v23336.9%

    WeirdML v2 ↗ · Published board — Presents LLMs with unusual machine-learning tasks where they must write, run, and iteratively improve PyTorch code under fixed compute and time limits.

  • Vibe Code Bench (Vals Index v2)011.9%

    Vibe Code Bench (Vals Index v2) v2 ↗ · Published board — End-to-end app-building tasks.

  • Code Migration (Vals Index v2 subset)310.0%

    Code Migration (Vals Index v2 subset) v2 ↗ · Published board — Porting projects to another language, including COBOL modernization.

  • AA Coding Index6052.6

    AA Coding Index published 2026-09-19 ↗ · Published board — Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

Efficiency

Instruction-following

Knowledge

Long-context

  • GDP.pdf (AA)356.0%

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

  • AA-LCR v1.18578.3%

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

  • MLCR-AA143.3%

    MLCR-AA published 2026-09-10 ↗ · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.

Reasoning

Science

Tool-use

Uncensored

  • UGI Willingness21.00

    UGI Willingness published 2026-09-10 ↗ · Published board — A private-question evaluation of how far a model follows challenging instructions before refusing or deviating.

  • UGI1618.0

    UGI published 2026-09-10 ↗ · Published board — A private-question suite combining sensitive-topic knowledge with willingness to follow controversial instructions.

Writing

  • LLM Creative Story-Writing Benchmark0-3.60

    LLM Creative Story-Writing Benchmark published 2026-09-10 ↗ · Published board — Pairwise comparison of short stories written to the same constrained creative briefs, with LLM evaluator choices combined into a relative comparison score.

  • UGI Writing7137.6

    UGI Writing published 2026-09-10 ↗ · Published board — A maintainer-owned writing evaluation considering intelligence, style, repetition and length adherence, informed by human preferences.

Unusual results

6 threshold-crossing signals flagged · 39 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 Finance Agent v2 (Vals Index v2)
    Why
    Observed: 27.887 percent
    Peer mean 51.81084 · peer sd 7.87265 · n 31 · families 30
    Directed z -3.039 · baseline z -0.249 · gap -2.789 · profile n 38
    27.887 percentmeasuredobserved 2026-09-18vals.ai ↗
    Evidence
    Axis: Finance Agent v2 (Vals Index v2) · v2 · Published board
    Exact value: 27.887 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:098ca5ca32f3cf1a595cc022
  • unusually weak Vibe Code Bench (Vals Index v2)
    Why
    Observed: 11.926 percent
    Peer mean 65.32897 · peer sd 21.57746 · n 32 · families 31
    Directed z -2.475 · baseline z -0.264 · gap -2.211 · profile n 38
    11.926 percentmeasuredobserved 2026-09-18vals.ai ↗
    Evidence
    Axis: Vibe Code Bench (Vals Index v2) · v2 · Published board
    Exact value: 11.926 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:0f5b3e026a9744e5a089a8e4
  • unusually weak Vals Index v2 (Vals AI)
    Why
    Observed: 24.556 percent
    Peer mean 53.34655 · peer sd 11.98829 · n 31 · families 30
    Directed z -2.402 · baseline z -0.266 · gap -2.135 · profile n 38
    24.556 percentmeasured· 0.88 USD per rolloutobserved 2026-09-18vals.ai ↗
    Evidence
    Axis: Vals Index v2 (Vals AI) · v2 · Published board
    Exact value: 24.556 percent
    Published mean cost: 0.87768 USD per rollout
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:f24e8ba4a557f3c95b4b2a97
  • unusually strong IFBench (AA single-turn) published 2026-09-10
    Why
    Observed: 0.75714 fraction
    Peer mean 0.48006 · peer sd 0.17139 · n 450 · families 331
    Directed z 1.617 · baseline z -0.372 · gap 1.989 · profile n 38
    0.75714 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗
    Evidence
    Axis: IFBench (AA single-turn) · published 2026-09-10 · Published board
    Exact value: 0.757142857142857 fraction
    Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
    Observation id: aa:4bbceacb-cf47-464b-b60f-e1d1fe016d67:ifbench
  • unusually weak Excel Modeling Benchmark (Vals Index v2)
    Why
    Observed: 28.451 percent
    Peer mean 59.33688 · peer sd 13.75792 · n 33 · families 32
    Directed z -2.245 · baseline z -0.27 · gap -1.975 · profile n 38
    28.451 percentmeasuredobserved 2026-09-18vals.ai ↗
    Evidence
    Axis: Excel Modeling Benchmark (Vals Index v2) · v2 · Published board
    Exact value: 28.451 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:e30f2faa14bfd1250f51ec09
  • unusually weak Legal Research Bench (Vals Index v2)
    Why
    Observed: 10.577 percent
    Peer mean 36.58215 · peer sd 12.01783 · n 33 · families 32
    Directed z -2.164 · baseline z -0.272 · gap -1.891 · profile n 38
    10.577 percentmeasuredobserved 2026-09-18vals.ai ↗
    Evidence
    Axis: Legal Research Bench (Vals Index v2) · v2 · Published board
    Exact value: 10.577 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:7f1e982cf5224b98dcd7b0da
Missing coverage · 103 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 · 5 offers (Adjusted $/task)

Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.

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

OpenRouter (5)

Novita
DeepInfra
Mara
SambaNova
Groq
MiniMax-M2.7 — benchmarks & cost | Benchmark Heaven