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agents benchmark

Kimi Code Bench v2 Leaderboard

Kimi Code Bench v2 is Moonshot AI's in-house benchmark for evaluating coding agents on realistic software engineering tasks across 10+ mainstream programming languages and a production tech stack.

Updated Oct 23, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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  • Ranking
  • Highlights
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  • About
  • FAQ

Kimi Code Bench v2 Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K3Moonshot AIScore72.90%Percentile100.00%Participants2EvidenceCEvaluatedOct 22, 2026
Rank02ModelMAKimi K2.7 CodeMoonshot AIScore62.00%Percentile0.00%Participants2EvidenceCEvaluatedOct 22, 2026

Kimi Code Bench v2 Highlights

The leading models and scores on this benchmark.

Rank #1Kimi K372.90%Rank #2Kimi K2.7 Code62.00%

Kimi Code Bench v2 Score Distribution

A closer view of the leading scores on this benchmark.

Kimi Code Bench v2

The Top AI Models for Kimi Code Bench v2

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is Kimi Code Bench v2?

What Kimi Code Bench v2 measures and how its scores work.

Kimi Code Bench v2 is a benchmark for coding agents covering backend services, infrastructure, performance engineering, systems programming, security, frontend development, and ML/data engineering.

It reports a Score as a ratio for performance on realistic software engineering tasks.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
Kimi Code Bench v2
Modality
text
Primary category
agents
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about Kimi Code Bench v2.

Which model scores highest on Kimi Code Bench v2?

Kimi K3 is currently ranked first with 72.90%.

What are the top three models on Kimi Code Bench v2?

The current leaders are Kimi K3 (72.90%) and Kimi K2.7 Code (62.00%).

Which Kimi Code Bench v2 model has the lowest official input price?

Kimi K2.7 Code has the lowest matched official input price at $0.95 input / $4.0 output per 1M tokens.

Which models are fastest among Kimi Code Bench v2 results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does Kimi Code Bench v2 measure?

It reports a Score as a ratio for performance on realistic software engineering tasks.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Ranking basisThis kimi code bench v2 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MA
    Kimi K3Moonshot AI
    Score
    72.90%
    Price
    $3.0 input / $15 output per 1M tokens

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Kimi Code Bench v2, not total model capability
  2. 02
    MA
    Kimi K2.7 CodeMoonshot AI
    Score
    62.00%
    Price
    $0.95 input / $4.0 output per 1M tokens

    Strengths

    • Ranks #2 of 2 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Kimi Code Bench v2, not total model capability

Selection summary

Best AI Models for Kimi Code Bench v2

Kimi K3 currently leads Kimi Code Bench v2 with 72.90%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1Kimi K372.90% · $3.0 input / $15 output per 1M tokens
Benchmark rank #2Kimi K2.7 Code62.00% · $0.95 input / $4.0 output per 1M tokens