Code Davinci 001 vs GPT-5.1 Codex Max
Code Davinci 001 (2021) and GPT-5.1 Codex Max (2025) are agentic coding models from OpenAI. Code Davinci 001 ships a not-yet-sourced context window, while GPT-5.1 Codex Max ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
GPT-5.1 Codex Max is safer overall; choose Code Davinci 001 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Code Davinci 001 | GPT-5.1 Codex Max |
|---|---|---|
| Best for | custom coding agents and code generation | custom coding agents, code generation, and tool loops |
| Decision fit | Coding | Coding, Agents, and Vision |
| Context window | — | — |
| Cheapest output | - | $10/1M tokens |
| Provider routes | 0 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Code Davinci 001 for Coding.
- GPT-5.1 Codex Max has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-5.1 Codex Max uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags GPT-5.1 Codex Max for Coding, Agents, and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Code Davinci 001
Unavailable
No complete token price in local provider data
GPT-5.1 Codex Max
$3,500
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Code Davinci 001 and GPT-5.1 Codex Max; plan for SDK, billing, or endpoint changes.
- GPT-5.1 Codex Max adds Vision, Multimodal, and Reasoning in local capability data.
- No overlapping tracked provider route is sourced for GPT-5.1 Codex Max and Code Davinci 001; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2021-07-01 | 2025-11-19 |
| Context window | — | — |
| Parameters | — | — |
| Architecture | decoder only | - |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | 2024-09 |
Pricing and availability
| Pricing attribute | Code Davinci 001 | GPT-5.1 Codex Max |
|---|---|---|
| Input price | - | $1.25/1M tokens |
| Output price | - | $10/1M tokens |
| Providers | - |
Capabilities
| Capability | Code Davinci 001 | GPT-5.1 Codex Max |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-5.1 Codex Max, multimodal input: GPT-5.1 Codex Max, reasoning mode: GPT-5.1 Codex Max, function calling: GPT-5.1 Codex Max, tool use: GPT-5.1 Codex Max, and structured outputs: GPT-5.1 Codex Max. 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: Code Davinci 001 has no token price sourced yet and GPT-5.1 Codex Max has $1.25/1M input tokens. Provider availability is 0 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Code Davinci 001 when coding workflow support are central to the workload. Choose GPT-5.1 Codex Max when coding workflow support and broader provider choice 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 Code Davinci 001 or GPT-5.1 Codex Max open source?
Code Davinci 001 is listed under Proprietary. GPT-5.1 Codex Max 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, Code Davinci 001 or GPT-5.1 Codex Max?
GPT-5.1 Codex Max 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, Code Davinci 001 or GPT-5.1 Codex Max?
GPT-5.1 Codex Max 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, Code Davinci 001 or GPT-5.1 Codex Max?
GPT-5.1 Codex Max 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, Code Davinci 001 or GPT-5.1 Codex Max?
GPT-5.1 Codex Max 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 Code Davinci 001 and GPT-5.1 Codex Max?
Code Davinci 001 is available on the tracked providers still being sourced. GPT-5.1 Codex Max is available on OpenRouter and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.