code benchmark
OctoCodingBench Leaderboard
OctoCodingBench is a coding benchmark for evaluating multi-language programming capabilities.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
OctoCodingBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score26.10% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
OctoCodingBench Highlights
The leading models and scores on this benchmark.
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 original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIMiniMax
- Score
- 26.10%
- Price
- $0.30 input / $1.2 output per 1M tokens
- Speed
- Up to 100.00 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 26.10%. 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.
What is OctoCodingBench?
What OctoCodingBench measures and how its scores work.
OctoCodingBench is an Octopus coding benchmark.
It measures multi-language programming capabilities using the Score metric, reported as a ratio.
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
- overall
LLM Stats. 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 26.10%.
What are the top three models on OctoCodingBench?
The current leaders are MiniMax M2.1 (26.10%).
Which OctoCodingBench model has the lowest official input price?
MiniMax M2.1 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.
Which models are fastest among OctoCodingBench results?
The fastest matched records are MiniMax M2.1 (100.00 tok/s via MiniMax).
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.