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GPT-5 Codex vs Kimi K2 Thinking
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 Codex, released by OpenAI in August 2025, is a coding-specialized large language model from the GPT-5 family engineered for software engineering, code generation, and agentic development workflows. It builds on GPT-5's architecture with optimizations targeting multi-file code editing, test generation, and automated debugging. GPT-5 Codex targets developers and agentic coding tools requiring a model tuned specifically for programming tasks.
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Moonshot AI
Kimi K2 Thinking, released by Moonshot AI on November 6, 2025, is a reasoning-focused variant of Kimi K2 with 1 trillion total parameters and 32 billion active parameters, featuring extended chain-of-thought processing for complex problem solving. It builds on K2's agentic coding strengths with additional capabilities for mathematical and scientific reasoning. Kimi K2 Thinking targets open-source deployments requiring deep, deliberate reasoning across coding and analytical domains.
3 months newer
GPT-5 Codex
OpenAI
2025-08
Kimi K2 Thinking
Moonshot AI
2025-11-06
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 Codex
Average Score:44.0%(+0.2%)
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Kimi K2 Thinking
Average Score:43.8%
Performance comparison across key benchmark categories
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GPT-5 Codex
Coding44.0%(+0.2%)
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Kimi K2 Thinking
Coding43.8%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 Codex
0 providers
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Kimi K2 Thinking
1 providers
Moonshot AI
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GPT-5 Codex
Avg Score:44.0%(+0.2%)
Providers:0
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Kimi K2 Thinking
Avg Score:43.8%
Providers:1