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Across the task benchmarks we track, Kimi K2 Thinking’s strongest relative results are in coding, reasoning, and web research. On SWE-bench Verified, it scores 71.3%, ranking #6 among 7 models with reported results in our dataset.

Updated: Data as of:

Strongest results

Strongest results for Kimi K2 Thinking in tracked evaluation cohorts
BenchmarkMeasuresScore
SWE-bench ↗Verified / published open-model reportsCoding71.3%#6 of 7
Humanity's Last Exam ↗Stable HLE — text-only subsetExpert reasoning23.82%#57 of 68
IFBench ↗58 constraint typesPrecise instruction following68.1%#15 of 17
GPQA ↗Diamond / Artificial AnalysisReasoning83.84%#27 of 30

Model details

Open source / open weights5 benchmarks
Specifications for Kimi K2 Thinking
ModelKimi K2 Thinking
Agent Index v1.2Insufficient coverage (0/7) · Preview
CreatorMoonshot AI (opens in a new tab)
AvailabilityOpen source / open weights
Context size256,000 tokens (opens in a new tab)
Max outputNot reported
Knowledge cutoffNot reported
LicenseModified MIT License · 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

Kimi K2 Thinking 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 Kimi K2 Thinking
BenchmarkScoreEvaluation setupSource
BrowseCompPublished open-model reportsAccuracy · Higher is better60.2%harness comparison: provider-reported; settings differ across models · 256K context; 300-step limit; 24K reasoning per step; hide old tool outputs; Hugging Face blockedMoonshot AI ↗ (opens in a new tab)provider reported
GPQADiamond / Artificial AnalysisAccuracy · Higher is better83.838%Kimi K2 Thinking; 198-question Diamond subset; independent AA evaluationArtificial Analysis (opens in a new tab)independent
Humanity's Last ExamStable HLE — text-only subsetAccuracy · Higher is better23.9%Provider no-tools text-only evaluation. Distinct from independent AA 23.8. · subset: text · No toolsMoonshot AI ↗ (opens in a new tab)provider reported
Humanity's Last ExamStable HLE — text-only subsetAccuracy · Higher is better51%Heavy configuration: parallel test-time compute. Text-only; retained separately from single-agent 44.9. · subset: text · Tools enabledMoonshot AI ↗ (opens in a new tab)provider reported
Humanity's Last ExamStable HLE — text-only subsetAccuracy · Higher is better44.9%Text-only; 120 steps; 48K reasoning per step; 256K context; o3-mini judge; Hugging Face blocked · Tools enabledMoonshot AI ↗ (opens in a new tab)provider reported
Humanity's Last ExamStable HLE — text-only subsetAccuracy · Higher is better23.818%Kimi K2 Thinking; original HLE text-only 2,158 questions; no tools; not HLE Diamond · No toolsArtificial Analysis (opens in a new tab)independent
IFBench58 constraint typesAccuracy · Higher is better68.095%selection: best reported configuration per release · Kimi K2 Thinking · tools: benchmark-definedArtificial Analysis (opens in a new tab)independent
SWE-benchVerified / published open-model reportsResolved · Higher is better71.3%harness comparison: provider-reported; settings differ across models · Moonshot in-house SWE-agent-derived harness; clamped Bash/Edit context and tailored promptMoonshot AI ↗ (opens in a new tab)provider reported