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Claude 3.7 Sonnet vs GPT-5.2 Codex

Claude 3.7 Sonnet (2024) and GPT-5.2 Codex (2025) are agentic coding models from Anthropic and OpenAI. Claude 3.7 Sonnet ships a 200K-token context window, while GPT-5.2 Codex ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

GPT-5.2 Codex is safer overall; choose Claude 3.7 Sonnet when coding workflow support matters.

Specs

Released2024-03-042025-12-18
Context window200K
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff2024-11-

Pricing and availability

Claude 3.7 SonnetGPT-5.2 Codex
Input price$3/1M tokens-
Output price$15/1M tokens-
Providers-

Capabilities

Claude 3.7 SonnetGPT-5.2 Codex
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Claude 3.7 Sonnet. Both models share vision, multimodal input, reasoning mode, and function calling, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Claude 3.7 Sonnet has $3/1M input tokens and GPT-5.2 Codex has no token price sourced yet. Provider availability is 6 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Claude 3.7 Sonnet when coding workflow support and broader provider choice are central to the workload. Choose GPT-5.2 Codex when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Is Claude 3.7 Sonnet or GPT-5.2 Codex open source?

Claude 3.7 Sonnet is listed under Proprietary. GPT-5.2 Codex is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Claude 3.7 Sonnet or GPT-5.2 Codex?

Both Claude 3.7 Sonnet and GPT-5.2 Codex expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Claude 3.7 Sonnet or GPT-5.2 Codex?

Both Claude 3.7 Sonnet and GPT-5.2 Codex expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for reasoning mode, Claude 3.7 Sonnet or GPT-5.2 Codex?

Both Claude 3.7 Sonnet and GPT-5.2 Codex expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for function calling, Claude 3.7 Sonnet or GPT-5.2 Codex?

Both Claude 3.7 Sonnet and GPT-5.2 Codex expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Claude 3.7 Sonnet and GPT-5.2 Codex?

Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. GPT-5.2 Codex is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.