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code benchmark

OctoCodingBench Leaderboard

Octopus coding benchmark for evaluating multi-language programming capabilities

Updated Aug 17, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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  • FAQ

OctoCodingBench Ranking

Higher score ranks better on this benchmark.

1 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIMiniMax M2.1MiniMaxScore26.1%Percentile100.0%Participants1EvidenceCEvaluatedAug 17, 2026

OctoCodingBench Highlights

The leading models and scores on this benchmark.

Rank #1MiniMax M2.126.1%

The Top AI Models for OctoCodingBench

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

Ranking basisThis octocodingbench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MI
    MiniMax M2.1MiniMax
    Score
    26.1%
    Price
    $0.30 input / $1.2 output per 1M tokens
    Speed
    Up to 100 tok/s via MiniMax

    Strengths

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

    Considerations

    • This result measures OctoCodingBench, not total model capability

Selection summary

Best AI Models for OctoCodingBench

MiniMax M2.1 currently leads OctoCodingBench with 26.1%. 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 #1MiniMax M2.126.1% · $0.30 input / $1.2 output per 1M tokens

What is OctoCodingBench?

What OctoCodingBench measures and how its scores work.

Octopus coding benchmark for evaluating multi-language programming capabilities

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

Family
OctoCodingBench
Modality
text
Primary category
code
Score direction
higher
LLMBoard eligible
No
Evaluation key
octocodingbench|llm-stats-current

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

FAQ

Common questions about OctoCodingBench.

Which model scores highest on OctoCodingBench?

MiniMax M2.1 is currently ranked first with 26.1%.

What does OctoCodingBench measure?

Octopus coding benchmark for evaluating multi-language programming capabilities

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 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.