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GPT-5 Codex vs Kimi K2.5
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 1.3% higher average benchmark score. 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 K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
5 months newer
GPT-5 Codex
OpenAI
2025-08
Kimi K2.5
Moonshot AI
2026-01
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-5 Codex
Average Score:54.0%(+1.3%)
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Kimi K2.5
Average Score:52.6%
Performance comparison across key benchmark categories
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GPT-5 Codex
Coding54.0%(+1.3%)
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Kimi K2.5
Coding52.6%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 Codex
0 providers
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Kimi K2.5
1 providers
Moonshot AI
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GPT-5 Codex
Avg Score:54.0%(+1.3%)
Providers:0
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Kimi K2.5
Avg Score:52.6%
Providers:1