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Claude 3.7 Sonnet vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 4.2% higher average benchmark score. Claude 3.7 Sonnet supports multimodal inputs. Claude 3.7 Sonnet is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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Anthropic
Claude 3.7 Sonnet represents Anthropic's first hybrid reasoning model, capable of producing near-instant responses or extended step-by-step thinking that is visible to users. Developed with particularly strong improvements in coding and front-end web development, it allows users to control thinking budgets and balances real-world task performance with reasoning capabilities for enterprise applications.
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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.
6 months newer
Claude 3.7 Sonnet
Anthropic
2025-02-24
GPT-5 Codex
OpenAI
2025-09-15
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Claude 3.7 Sonnet
Average Score:70.3%
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GPT-5 Codex
Average Score:74.5%(+4.2%)
Performance comparison across key benchmark categories
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Claude 3.7 Sonnet
Coding70.3%
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GPT-5 Codex
Coding74.5%(+4.2%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 Codex
2024-09-30
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 3.7 Sonnet
4 providers
Anthropic
Throughput: 42 tok/s
Latency: 0.4ms
Bedrock
Throughput: 101 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
ZeroEval
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3.7 Sonnet
Avg Score:70.3%
Providers:4
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GPT-5 Codex
Avg Score:74.5%(+4.2%)
Providers:0