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Across the task benchmarks we track, MiniMax M2.7’s strongest relative results are in work automations. On AutomationBench-AA, it scores 4.4%, ranking #50 among 55 models with reported results in our dataset.

Updated: Data as of:

Strongest results

Strongest results for MiniMax M2.7 in tracked evaluation cohorts
BenchmarkMeasuresScore
IFBench ↗58 constraint typesPrecise instruction following75.7%#11 of 17
Humanity's Last Exam ↗Stable HLE — text-only subsetExpert reasoning29.6%#51 of 68
AA-Briefcase ↗1.1 / combined EloBusiness deliverables719 Elo#48 of 57
Terminal-Bench ↗4.0 / mini-swe-agentWorking in a terminal0%Joint #49 of 56

Model details

Open source / open weights7 benchmarks
Specifications for MiniMax M2.7
ModelMiniMax M2.7
Agent Index v1.2Insufficient coverage (3/7) · Preview
CreatorMiniMax (opens in a new tab)
AvailabilityOpen source / open weights
Context sizeNot reported
Max outputNot reported
Knowledge cutoffNot reported
LicenseNot reported · Model weights ↗ (opens in a new tab)

Pricing and performance

Per provider and reported configuration. Prices are USD per 1M tokens.

No provider pricing or performance reports have been added for this model yet.

Benchmark performance

MiniMax M2.7 in color, alongside leading models. Latest stored reports, best effort per report date.

Reported benchmarks

All published results in our dataset, with versions, evaluation settings, and sources.

All published benchmark reports for MiniMax M2.7
BenchmarkScoreEvaluation setupSource
AA-Briefcase1.1 / combined EloCombined Elo · Higher is better719 Eloselection: best reported configuration per release · MiniMax-M2.7 · tools: benchmark-definedArtificial Analysis (opens in a new tab)independent
AutomationBench-AA1.0.6 / AA private 657Objectives completed without guardrail violations · Higher is better4.4%reported precision decimals: 1 · result quality: reported · MiniMax-M2.7; private held-out 657 tasks; 50 turns; objective completion with zero credit for any guardrail violation. · source model href: /models/minimax-m2-7 · task count: 657 · Tools enabled · turn cap: 50Artificial Analysis (opens in a new tab)independent
GDP.pdf100 tasks / All-pass / five attemptsAccuracy · Higher is better6%selection: best reported configuration per release · MiniMax-M2.7 · tools: benchmark-definedArtificial Analysis (opens in a new tab)independent
Humanity's Last ExamStable HLE — text-only subsetAccuracy · Higher is better29.6%question count: 2158 · reported precision decimals: 1 · MiniMax-M2.7; original HLE; 2,158 text-only questions; no tools; pass@1; chart labels rounded to one decimal. · source model href: /models/minimax-m2-7 · subset: text · No toolsArtificial Analysis (opens in a new tab)independent
IFBench58 constraint typesAccuracy · Higher is better75.7%selection: publisher default displayed configuration · MiniMax-M2.7Artificial Analysis (opens in a new tab)independent
Terminal-Bench4.0 / mini-swe-agentTask success · Higher is better0%harness: mini-swe-agent · repeats: 3 · selection: best reported configuration per release · MiniMax-M2.7Artificial Analysis (opens in a new tab)independent
π-BenchOverall · PROCProactivity (PROC) · Higher is better55.6%completeness score: 60 · completeness uncertainty: 1.8 · metric: Avg PROC · personas: 5 · proc uncertainty: 3.2 · selection: Overall rows; not per-persona averages. COMP is a separate metric and does not determine this ranking. · tasks: 100π-Bench research team ↗ (opens in a new tab)benchmark publisher