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Best LLM for Debugging

Find the top-ranked models for localizing bugs and proposing fixes with explanations.

#1 Recommendation

gpt-4o-2024-05-13

Strong on RepoQA Official Results overall_average_pass_at_1_pct (99%) and RepoQA Official Results all_average_pass_at_1_pct (99%)

external/openai/gpt-4o-2024-05-13

21.6%

Score

26.3%

Confidence

9

Evidence

Ranked Models

30

Evidence Quality

81%

Scoring

Benchmark-backed

Top Signal

RepoQA Official Results: overall_average_pass_at_1_pct

All Ranked Models

Max params:
Min confidence:
30 of 30
RankModelScore
#2gpt-4o-2024-05-13

Strong on RepoQA Official Results overall_average_pass_at_1_pct (99%) and RepoQA Official Results all_average_pass_at_1_pct (99%)

21.6%
#3z-ai/glm-4.7

Strong on Sonar Java Quality Leaderboard functional_skill_pct (74%) and Vals LiveCodeBench overall_accuracy_pct (91%)

20.6%
#5Kimi K2 Thinking
20.1%
#6minimax/minimax-m2.1
19.2%
#10deepseek/deepseek-r1
17.2%
#11gemini-3-pro-preview
16.9%
#13google/gemini-3.1-pro-preview
16.5%
#14Grok-4-0709
16.3%
#15gpt-4.1-20250414
15.7%
#17openai/gpt-5.4-2026-03-05
15.5%
#19claude-sonnet-4-20250514
15.2%
#20anthropic/claude-sonnet-4.6
15.1%
#21anthropic/claude-opus-4-6-thinking
14.9%
#22Meta-Llama-3-70B-Instruct
14.9%
#23claude-opus-4-5-20251101
14.7%
#24GLM-5
14.6%
#25gemini-3-flash-preview
14.5%
#27gpt-5-2025-08-07
14.5%
#29gpt-5.2-2025-12-11
14.4%
#30gpt-5.1-2025-11-13
14.4%
#31anthropic/claude-opus-4-5-20251101-thinking
14.2%
#33gpt-4o
13.6%
#34kimi/kimi-k2.5-thinking
13.0%
#37Meta-Llama-3-8B-Instruct
12.6%
#39anthropic/claude-sonnet-4-5-20250929-thinking
12.5%
#40gpt-4o-2024-08-06
12.1%
#41gemini-2.5-pro
12.1%
#43zai/glm-5-thinking
11.6%
#44qwen-2.5-72b-instruct
11.6%
#47Phi-3-medium-128k-instruct
11.4%

Head-to-Head: #1 vs #2

#2

Top Pick

gpt-4o-2024-05-13

Strong on RepoQA Official Results overall_average_pass_at_1_pct (99%) and RepoQA Official Results all_average_pass_at_1_pct (99%)

21.6%

Conf 26.3%

#3

z-ai/glm-4.7

Strong on Sonar Java Quality Leaderboard functional_skill_pct (74%) and Vals LiveCodeBench overall_accuracy_pct (91%)

20.6%

Conf 29.7%

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