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Coding Performance with 10 Evaluators — Run
Comprehensive evaluation of 3 language models across 1 system prompt with rigorous benchmarking and scoring criteria.
5.64
gemini-2.5-pro
5.00
Spread: 1.15 pts
—
Response time
120
12 total responses
Executive Insights
Key takeaways from this evaluation
Top Performer
gemini-2.5-pro
5.64
0.77 pts ahead of #2
Best Value
claude-sonnet-4.6
4.87
Best score-to-cost ratio
Model Rankings
Ranked by overall performance score
gemini-2.5-pro
google/gemini-2.5-pro
Average
Responses
4
Avg Latency
—
Cost
$0.1035
claude-sonnet-4.6
anthropic/claude-sonnet-4.6
Below Average
Responses
4
Avg Latency
—
Cost
$0.0142
gpt-5.4
openai/gpt-5.4
Below Average
Responses
4
Avg Latency
—
Cost
$0.0101
Evaluator Consensus
How 10 evaluator models ranked the candidates via blind comparison
split Agreement
Evaluators disagree on which model is best
gemini-2.5-pro
Avg Rank
1.7
Range
#1–3
#1 Votes
5/10
Latency
—
claude-sonnet-4.6
Avg Rank
1.9
Range
#1–3
#1 Votes
4/10
Latency
—
gpt-5.4
Avg Rank
2.4
Range
#1–3
#1 Votes
1/10
Latency
—
gpt-5.4-mini
gemini-3.1-flash-lite-preview
claude-sonnet-4.6
minimax-m2.7
kimi-k2.5
deepseek-v3.2
grok-4.1-fast
mistral-small-2603
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
gemini-2.5-pro
5.64
Performance by Test Prompt
Model results broken down by individual test prompts
| Test Prompt | Avg Score |
|---|---|
Javascript Function 3 responses | 5.00 |
Write an Interval Merge Function 3 responses | 5.00 |
Debug Python 3 responses | 5.00 |
Refactor Javascript 3 responses | 5.00 |
About This Evaluation
Methodology, criteria weights, and evaluation confidence
12
Total Responses
120
Total Evaluations
