Model Comparison

Claude Sonnet 4.6 vs GPT-5 Codex

Claude Sonnet 4.6 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude Sonnet 4.6 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-5 Codex is better at 0 benchmarks.

Claude Sonnet 4.6 significantly outperforms across most benchmarks.

Sun May 31 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude Sonnet 4.6 specifies input context (200,000 tokens). Only Claude Sonnet 4.6 specifies output context (64,000 tokens).

Anthropic
Claude Sonnet 4.6
Input200,000 tokens
Output64,000 tokens
OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Sun May 31 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Sonnet 4.6 supports multimodal inputs, whereas GPT-5 Codex does not.

Claude Sonnet 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Sonnet 4.6

Text
Images
Audio
Video

GPT-5 Codex

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Claude Sonnet 4.6

Proprietary

Closed source

GPT-5 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

Claude Sonnet 4.6 was released on 2026-02-17, while GPT-5 Codex was released on 2025-09-15.

Claude Sonnet 4.6 is 5 months newer than GPT-5 Codex.

Claude Sonnet 4.6

Feb 17, 2026

3 months ago

5mo newer
GPT-5 Codex

Sep 15, 2025

8 months ago

Knowledge Cutoff

When training data ends

GPT-5 Codex has a documented knowledge cutoff of 2024-09-30, while Claude Sonnet 4.6's cutoff date is not specified.

We can confirm GPT-5 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without Claude Sonnet 4.6's cutoff date.

Claude Sonnet 4.6

—

GPT-5 Codex

Sep 2024

Outputs Comparison

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Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher SWE-Bench Verified score (79.6% vs 74.5%)
OpenAI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Sonnet 4.6
OpenAI
GPT-5 Codex

FAQ

Common questions about Claude Sonnet 4.6 vs GPT-5 Codex.

Which is better, Claude Sonnet 4.6 or GPT-5 Codex?

Claude Sonnet 4.6 significantly outperforms across most benchmarks. Claude Sonnet 4.6 is made by Anthropic and GPT-5 Codex is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude Sonnet 4.6 compare to GPT-5 Codex in benchmarks?

Claude Sonnet 4.6 scores Tau2 Telecom: 97.9%, Tau2 Retail: 91.7%, GPQA: 89.9%, MMMLU: 89.3%, SWE-Bench Verified: 79.6%. GPT-5 Codex scores SWE-Bench Verified: 74.5%.

What are the context window sizes for Claude Sonnet 4.6 and GPT-5 Codex?

Claude Sonnet 4.6 supports 200K tokens and GPT-5 Codex supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Sonnet 4.6 and GPT-5 Codex?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Sonnet 4.6 and GPT-5 Codex?

Claude Sonnet 4.6 is developed by Anthropic and GPT-5 Codex is developed by OpenAI.