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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.
6.43
deepseek-v4-pro
5.84
Spread: 1.17 pts
164ms
Response time
70
7 total responses
Executive Insights
Key takeaways from this evaluation
Top Performer
deepseek-v4-pro
6.43
1.17 pts ahead of #2
Model Rankings
Ranked by overall performance score
deepseek-v4-pro
deepseek/deepseek-v4-pro
Above Average
Responses
3
Avg Latency
164ms
Cost
$0.0021
kimi-k2.6
moonshotai/kimi-k2.6
Average
Responses
4
Avg Latency
—
Cost
$0.0299
Evaluator Consensus
How 10 evaluator models ranked the candidates via blind comparison
majority Agreement
8 of 10 evaluators agree on the top model
deepseek-v4-pro
Avg Rank
1.2
Range
#1–2
#1 Votes
8/10
Latency
164ms
kimi-k2.6
Avg Rank
1.8
Range
#1–2
#1 Votes
2/10
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
deepseek-v4-pro
6.43
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 1 responses | 10.00 |
Debug Python 2 responses | 5.00 |
Refactor Javascript 2 responses | 5.00 |
About This Evaluation
Methodology, criteria weights, and evaluation confidence
7
Total Responses
70
Total Evaluations
