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Claude Haiku 4.5 vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 1.2% higher average benchmark score. Claude Haiku 4.5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Anthropic
Claude Haiku 4.5 continues Anthropic's tradition of fast, efficient models in the fourth generation Claude family. Designed to maintain the hallmark speed and cost-effectiveness of the Haiku line while incorporating advancements from the Claude 4 series, it serves applications requiring rapid processing and quick turnaround times.
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OpenAI
GPT-5 Codex was developed as a specialized variant of GPT-5 optimized for programming and software development tasks. Built to understand and generate code across multiple programming languages, it serves developers with enhanced capabilities for code completion, debugging, translation, and explanation of complex codebases.
1 month newer
GPT-5 Codex
OpenAI
2025-09-15
Claude Haiku 4.5
Anthropic
2025-10-15
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Claude Haiku 4.5
Average Score:73.3%
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GPT-5 Codex
Average Score:74.5%(+1.2%)
Performance comparison across key benchmark categories
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Claude Haiku 4.5
Coding73.3%
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GPT-5 Codex
Coding74.5%(+1.2%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 Codex
2024-09-30
Claude Haiku 4.5
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Claude Haiku 4.5
1 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.3ms
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GPT-5 Codex
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Claude Haiku 4.5
Avg Score:73.3%
Providers:1
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GPT-5 Codex
Avg Score:74.5%(+1.2%)
Providers:0