Code Davinci 001 vs Phi-3 Mini 128K
Code Davinci 001 (2021) and Phi-3 Mini 128K (2024) are agentic coding models from OpenAI and Microsoft Research. Code Davinci 001 ships a not-yet-sourced context window, while Phi-3 Mini 128K ships a 128K-token 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.
Phi-3 Mini 128K is safer overall; choose Code Davinci 001 when coding workflow support matters.
Specs
| Released | 2021-07-01 | 2024-04-23 |
| Context window | — | 128K |
| Parameters | — | 3.8B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Code Davinci 001 | Phi-3 Mini 128K | |
|---|---|---|
| Input price | - | $0.05/1M tokens |
| Output price | - | $0.25/1M tokens |
| Providers | - |
Capabilities
| Code Davinci 001 | Phi-3 Mini 128K | |
|---|---|---|
| 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 is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: Code Davinci 001 has no token price sourced yet and Phi-3 Mini 128K has $0.05/1M input tokens. Provider availability is 0 tracked routes versus 5. 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 Phi-3 Mini 128K when provider fit 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. 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 Code Davinci 001 or Phi-3 Mini 128K open source?
Code Davinci 001 is listed under Proprietary. Phi-3 Mini 128K is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Where can I run Code Davinci 001 and Phi-3 Mini 128K?
Code Davinci 001 is available on the tracked providers still being sourced. Phi-3 Mini 128K is available on NVIDIA NIM, Baseten API, Microsoft Foundry, Fireworks AI, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Code Davinci 001 over Phi-3 Mini 128K?
Phi-3 Mini 128K is safer overall; choose Code Davinci 001 when coding workflow support matters. If your workload also depends on coding workflow support, start with Code Davinci 001; if it depends on provider fit, run the same evaluation with Phi-3 Mini 128K.
What is the main difference between Code Davinci 001 and Phi-3 Mini 128K?
Code Davinci 001 and Phi-3 Mini 128K differ most on context, provider coverage, capabilities, or pricing depending on the data currently sourced. Use the specs table first, then validate the model behavior with your own prompts.
Continue comparing
Last reviewed: 2026-04-18. Data sourced from public model cards and provider documentation.