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GPT-5.3 Codex vs Kimi K2.5
Comprehensive side-by-side LLM comparison
GPT-5.3 Codex leads with 21.5% higher average benchmark score. Overall, GPT-5.3 Codex is the stronger choice for coding tasks.
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OpenAI
GPT-5.3 Codex, released by OpenAI in February 2026, is a coding-specialized large language model from the GPT-5.3 family. It targets software engineering workflows including automated code generation, test writing, and agentic multi-file editing, built on the incremental improvements of the GPT-5.3 generation.
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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.
1 month newer
Kimi K2.5
Moonshot AI
2026-01
GPT-5.3 Codex
OpenAI
2026-02
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5.3 Codex
Average Score:64.7%(+21.5%)
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Kimi K2.5
Average Score:43.2%
Performance comparison across key benchmark categories
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GPT-5.3 Codex
Coding64.7%(+21.5%)
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Kimi K2.5
Coding43.2%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5.3 Codex
0 providers
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Kimi K2.5
1 providers
Moonshot AI
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GPT-5.3 Codex
Avg Score:64.7%(+21.5%)
Providers:0
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Kimi K2.5
Avg Score:43.2%
Providers:1