Claude 3.7 Sonnet vs GPT-4o (08-06)
Claude 3.7 Sonnet (2024) and GPT-4o (08-06) (2024) are frontier reasoning models from Anthropic and OpenAI. Claude 3.7 Sonnet ships a 200K-token context window, while GPT-4o (08-06) ships a 128K-token context window. On MMLU PRO, Claude 3.7 Sonnet leads by 5.6 pts. On pricing, GPT-4o (08-06) costs $1.25/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
GPT-4o (08-06) is ~140% cheaper at $1.25/1M; pay for Claude 3.7 Sonnet only for coding workflow support.
Specs
| Released | 2024-03-04 | 2024-08-06 |
| Context window | 200K | 128K |
| Parameters | — | 1.76T (8x222B MoE)* |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2024-11 | 2023-10 |
Pricing and availability
| Claude 3.7 Sonnet | GPT-4o (08-06) | |
|---|---|---|
| Input price | $3/1M tokens | $1.25/1M tokens |
| Output price | $15/1M tokens | $5/1M tokens |
| Providers |
Capabilities
| Claude 3.7 Sonnet | GPT-4o (08-06) | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Claude 3.7 Sonnet | GPT-4o (08-06) |
|---|---|---|
| MMLU PRO | 80.3 | 74.7 |
| Aider Polyglot | 64.9 | 23.1 |
Deep dive
On shared benchmark coverage, MMLU PRO has Claude 3.7 Sonnet at 80.3 and GPT-4o (08-06) at 74.7, with Claude 3.7 Sonnet ahead by 5.6 points; Aider Polyglot has Claude 3.7 Sonnet at 64.9 and GPT-4o (08-06) at 23.1, with Claude 3.7 Sonnet ahead by 41.8 points. The largest visible gap is 41.8 points on Aider Polyglot, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on reasoning mode: Claude 3.7 Sonnet, function calling: Claude 3.7 Sonnet, and tool use: Claude 3.7 Sonnet. Both models share vision, multimodal input, structured outputs, and code execution, 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.
For cost, Claude 3.7 Sonnet lists $3/1M input and $15/1M output tokens, while GPT-4o (08-06) lists $1.25/1M input and $5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-4o (08-06) lower by about $4.22 per million blended tokens. Availability is 6 providers versus 4, so concentration risk also matters.
Choose Claude 3.7 Sonnet when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose GPT-4o (08-06) when coding workflow support and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Claude 3.7 Sonnet or GPT-4o (08-06)?
Claude 3.7 Sonnet supports 200K tokens, while GPT-4o (08-06) supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude 3.7 Sonnet or GPT-4o (08-06)?
GPT-4o (08-06) is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M output tokens. GPT-4o (08-06) costs $1.25/1M input and $5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.7 Sonnet or GPT-4o (08-06) open source?
Claude 3.7 Sonnet is listed under Proprietary. GPT-4o (08-06) 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-4o (08-06)?
Both Claude 3.7 Sonnet and GPT-4o (08-06) 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-4o (08-06)?
Both Claude 3.7 Sonnet and GPT-4o (08-06) expose multimodal input. 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-4o (08-06)?
Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. GPT-4o (08-06) is available on OpenAI API, Salesforce Einstein Generative AI, OpenRouter, and OpenAI Batch API. 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.