Code Davinci 001 vs Kimi K2 Instruct 0905
Code Davinci 001 (2021) and Kimi K2 Instruct 0905 (2025) are agentic coding models from OpenAI and Moonshot AI. Code Davinci 001 ships a not-yet-sourced context window, while Kimi K2 Instruct 0905 ships a 256K-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.
Kimi K2 Instruct 0905 is safer overall; choose Code Davinci 001 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Code Davinci 001 | Kimi K2 Instruct 0905 |
|---|---|---|
| Decision fit | Coding | Long context |
| Context window | — | 256K |
| Cheapest output | - | $2.5/1M tokens |
| Provider routes | 0 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Code Davinci 001 for Coding.
- Kimi K2 Instruct 0905 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2 Instruct 0905 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Kimi K2 Instruct 0905 for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Code Davinci 001
Unavailable
No complete token price in local provider data
Kimi K2 Instruct 0905
$1,105
Cheapest tracked route: Fireworks AI
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 Kimi K2 Instruct 0905; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Kimi K2 Instruct 0905 and Code Davinci 001; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2021-07-01 | 2025-01-01 |
| Context window | — | 256K |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Code Davinci 001 | Kimi K2 Instruct 0905 |
|---|---|---|
| Input price | - | $0.6/1M tokens |
| Output price | - | $2.5/1M tokens |
| Providers | - |
Capabilities
| Capability | Code Davinci 001 | Kimi K2 Instruct 0905 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
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 Kimi K2 Instruct 0905 has $0.6/1M 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 Kimi K2 Instruct 0905 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 Kimi K2 Instruct 0905 open source?
Code Davinci 001 is listed under Proprietary. Kimi K2 Instruct 0905 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.
Where can I run Code Davinci 001 and Kimi K2 Instruct 0905?
Code Davinci 001 is available on the tracked providers still being sourced. Kimi K2 Instruct 0905 is available on Fireworks AI and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Code Davinci 001 over Kimi K2 Instruct 0905?
Kimi K2 Instruct 0905 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 Kimi K2 Instruct 0905.
What is the main difference between Code Davinci 001 and Kimi K2 Instruct 0905?
Code Davinci 001 and Kimi K2 Instruct 0905 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: 2026-05-10. Data sourced from public model cards and provider documentation.