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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.
9.49
claude-opus-4.6
5.00
Spread: 8.98 pts
—
Response time
80
8 total responses
Executive Insights
Key takeaways from this evaluation
Top Performer
claude-opus-4.6
9.49
8.98 pts ahead of #2
Model Rankings
Ranked by overall performance score
claude-opus-4.6
anthropic/claude-opus-4.6
Excellent
Responses
4
Avg Latency
—
Cost
$0.0408
mistral-large-2512
mistralai/mistral-large-2512
Needs Improvement
Responses
4
Avg Latency
—
Cost
$0.0014
Evaluator Consensus
How 10 evaluator models ranked the candidates via blind comparison
unanimous Agreement
All 10 evaluators agree on the top model
claude-opus-4.6
Avg Rank
1.0
Range
#1
#1 Votes
10/10
Latency
—
mistral-large-2512
Avg Rank
2.0
Range
#2
#1 Votes
0/10
Latency
—
gpt-5.4-mini
gemini-3.1-flash-lite-preview
claude-sonnet-4.6
kimi-k2.5
grok-4.1-fast
mistral-small-2603
minimax-m2.7
deepseek-v3.2
qwen3.5-27b
nova-2-lite-v1
Score Comparison
Visual comparison of all model scores
Performance by System Prompt
How each model performs across different evaluation contexts
Top Performer
claude-opus-4.6
9.49
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
