Claude Opus 4.7 vs Code Davinci 001
Claude Opus 4.7 (2026) and Code Davinci 001 (2021) are agentic coding models from Anthropic and OpenAI. Claude Opus 4.7 ships a 1M-token context window, while Code Davinci 001 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.
Claude Opus 4.7 is safer overall; choose Code Davinci 001 when coding workflow support matters.
Specs
| Released | 2026-04-16 | 2021-07-01 |
| Context window | 1M | — |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2026-01 | - |
Pricing and availability
| Claude Opus 4.7 | Code Davinci 001 | |
|---|---|---|
| Input price | $5/1M tokens | - |
| Output price | $25/1M tokens | - |
| Providers | - |
Capabilities
| Claude Opus 4.7 | Code Davinci 001 | |
|---|---|---|
| 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 vision: Claude Opus 4.7, multimodal input: Claude Opus 4.7, reasoning mode: Claude Opus 4.7, function calling: Claude Opus 4.7, tool use: Claude Opus 4.7, structured outputs: Claude Opus 4.7, and code execution: Claude Opus 4.7. Both models share the core language-model surface, 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 Opus 4.7 has $5/1M input tokens and Code Davinci 001 has no token price sourced yet. Provider availability is 5 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 Opus 4.7 when coding workflow support and broader provider choice are central to the workload. Choose Code Davinci 001 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.
FAQ
Is Claude Opus 4.7 or Code Davinci 001 open source?
Claude Opus 4.7 is listed under Proprietary. Code Davinci 001 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 Opus 4.7 or Code Davinci 001?
Claude Opus 4.7 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Claude Opus 4.7 or Code Davinci 001?
Claude Opus 4.7 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, Claude Opus 4.7 or Code Davinci 001?
Claude Opus 4.7 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Claude Opus 4.7 or Code Davinci 001?
Claude Opus 4.7 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Claude Opus 4.7 and Code Davinci 001?
Claude Opus 4.7 is available on Anthropic, AWS Bedrock, GCP Vertex AI, Microsoft Foundry, and OpenRouter. Code Davinci 001 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.