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Coding Performance with 10 Evaluators — Run
Comprehensive evaluation of 2 language models across 1 system prompt with rigorous benchmarking and scoring criteria.
6.57
qwen3-coder
5.00
Spread: 3.14 pts
—
Response time
80
8 total responses
Executive Insights
Key takeaways from this evaluation
Top Performer
qwen3-coder
6.57
3.14 pts ahead of #2
Model Rankings
Ranked by overall performance score
qwen3-coder
qwen/qwen3-coder
Derived from how judges ranked this response against the others — not an absolute quality rating.
Responses
4
Avg Latency
—
Cost
$0.0008
devstral-2512
mistralai/devstral-2512
Derived from how judges ranked this response against the others — not an absolute quality rating.
Responses
4
Avg Latency
—
Cost
$0.0015
Evaluator Consensus
How 9 evaluator models ranked the candidates via blind comparison
majority Agreement
7 of 9 evaluators agree on the top model
qwen3-coder
Avg Rank
1.2
Range
#1–2
#1 Votes
7/9
Latency
—
devstral-2512
Avg Rank
1.8
Range
#1–2
#1 Votes
2/9
Latency
—
gpt-5.4-mini
gemini-3.1-flash-lite-preview
claude-sonnet-4.6
minimax-m2.7
deepseek-v3.2
grok-4.1-fast
kimi-k2.5
mistral-small-2603
qwen3.5-27b
Score Comparison
Visual comparison of all model scores
Performance by System Prompt
How each model performs across different evaluation contexts
Top Performer
qwen3-coder
6.57
Performance by Test Prompt
Model results broken down by individual test prompts
| Test Prompt | Avg Score |
|---|---|
Javascript Function 2 responses | 5.00 |
Write an Interval Merge Function 2 responses | 5.00 |
Debug Python 2 responses | 5.00 |
Refactor Javascript 2 responses | 5.00 |
About This Evaluation
Methodology, criteria weights, and evaluation confidence
8
Total Responses
80
Total Evaluations
