LLM Leaderboard for Agentic Coders

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Total Models
74

AI models tracked

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LLM Leaderboard background
Organizations
17

Companies & labs

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Providers
17

API providers

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Benchmarks
20

Evaluation metrics

Top Models by SWE-rebench

#01AnthropicClaude Sonnet 4.6
New
Anthropic
Feb 17, 2026-59.1%79.6%58.3%74.7%63.3%-81.7%89.9%33.2%49.0%61.3%89.3%-74.5%75.6%72.5%91.7%97.9%-
#02Minimax M 2.5
New
MiniMax
Feb 12, 202639.6%-80.2%-----------------
#03GLM 5
New
Zhipu AI
Feb 11, 202642.1%-77.8%--53.2%--------------
#04AnthropicClaude Opus 4.6
New
Anthropic
Feb 5, 202651.7%69.9%80.8%64.6%-60.0%--0.9%-----------
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SWE-bench Dominance Timeline
Models that achieved the highest SWE-bench score at the time of their release
Claude Opus 4.5
Anthropic
GPT-5.1 Thinking
OpenAI
GPT-5
OpenAI
Claude Opus 4.1
Anthropic
Aug 2025Feb 2026
Organizations
Anthropic (44.9%)
OpenAI (55.1%)
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Coding Categories Performance

Model performance across different coding domains and specializations

Note: These rankings reflect performance on available benchmarks for each model. Rankings do not necessarily indicate absolute superiority in a category, as most models have not been evaluated on all benchmarks.

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Agentic Coding

Assesses autonomous agents for code editing, issue resolution, and tool-using workflows.

#1
Claude Opus 4.5Anthropic
81%
1 benchmarks
#2
Claude Opus 4.6Anthropic
81%
1 benchmarks
#3
Minimax M 2.5MiniMax
80%
1 benchmarks
#4
GPT-5.2OpenAI
80%
1 benchmarks
#5
Claude Sonnet 4.6Anthropic
80%
1 benchmarks
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Repository-Level Coding

Involves understanding and modifying code in full repositories.

#1
Claude Opus 4.5Anthropic
81%
1 benchmarks
#2
Claude Opus 4.6Anthropic
81%
1 benchmarks
#3
Minimax M 2.5MiniMax
80%
1 benchmarks
#4
GPT-5.2OpenAI
80%
1 benchmarks
#5
Claude Sonnet 4.6Anthropic
80%
1 benchmarks