code benchmark
Codegolf v2.2 Leaderboard
Codegolf v2.2 is a code benchmark with results reported as a Score ratio.
Updated Sep 5, 2026
Models4
Model coverage4
MetricScore
EvidenceB
Codegolf v2.2 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score16.80% | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score16.80% | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score11.00% | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score11.00% | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
Codegolf v2.2 Highlights
The leading models and scores on this benchmark.
Codegolf v2.2 Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Codegolf v2.2
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Codegolf v2.2?
What Codegolf v2.2 measures and how its scores work.
Codegolf v2.2 is a code benchmark.
It measures Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Codegolf v2.2
- 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 Codegolf v2.2.
Which model scores highest on Codegolf v2.2?
Gemma 3n E4B Instructed is currently ranked first with 16.80%.
What are the top three models on Codegolf v2.2?
The current leaders are Gemma 3n E4B Instructed (16.80%), Gemma 3n E4B Instructed LiteRT Preview (16.80%), and Gemma 3n E2B Instructed (11.00%).
Which Codegolf v2.2 model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among Codegolf v2.2 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.