LLM Reference

Code Davinci 001 vs DeepSeek V3

Code Davinci 001 (2021) and DeepSeek V3 (2024) compare a coding-specialized model against a standalone API model. Code Davinci 001 ships a not-yet-sourced context window, while DeepSeek V3 ships a 64k-token context window. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: Code Davinci 001 is coding-specialized model, while DeepSeek V3 is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalCode Davinci 001DeepSeek V3
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents and code generationtool-calling agents and provider-routed production
Decision fitCodingCoding, Agents, and Classification
Context window64k
Cheapest output-$0.30/1M tokens
Provider routes0 tracked13 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Code Davinci 001 when...
  • Local decision data tags Code Davinci 001 for Coding.
Choose DeepSeek V3 when...
  • DeepSeek V3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • DeepSeek V3 has broader tracked provider coverage for fallback and procurement flexibility.
  • DeepSeek V3 uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.

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

DeepSeek V3

$155

Cheapest tracked route/tier: Bitdeer AI

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Code Davinci 001 -> DeepSeek V3
  • No overlapping tracked provider route is sourced for Code Davinci 001 and DeepSeek V3; plan for SDK, billing, or endpoint changes.
  • DeepSeek V3 adds Function calling, Tool use, and Structured outputs in local capability data.
DeepSeek V3 -> Code Davinci 001
  • No overlapping tracked provider route is sourced for DeepSeek V3 and Code Davinci 001; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.

Specs

Specification
Released2021-07-012024-12-26
Context window64k
Parameters671B
Architecturedecoder onlymixture of experts
LicenseProprietaryMIT(OSI)
OpennessProprietaryOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff-2024-04

Pricing and availability

Pricing attributeCode Davinci 001DeepSeek V3
Input price-$0.10/1M tokens
Output price-$0.30/1M tokens
Providers-

Capabilities

CapabilityCode Davinci 001DeepSeek V3
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: DeepSeek V3, tool use: DeepSeek V3, and structured outputs: DeepSeek V3. 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 DeepSeek V3 has $0.10/1M input tokens. Provider availability is 0 tracked routes versus 13. 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 DeepSeek V3 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 DeepSeek V3 open source?

Code Davinci 001 is listed under Proprietary. DeepSeek V3 is listed under MIT. 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 function calling, Code Davinci 001 or DeepSeek V3?

DeepSeek V3 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.

Which is better for tool use, Code Davinci 001 or DeepSeek V3?

DeepSeek V3 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for structured outputs, Code Davinci 001 or DeepSeek V3?

DeepSeek V3 has the clearer documented structured outputs signal in this comparison. If structured outputs 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 DeepSeek V3?

Code Davinci 001 is available on the tracked providers still being sourced. DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Code Davinci 001 over DeepSeek V3?

Treat this as a product-type comparison: Code Davinci 001 is coding-specialized model, while DeepSeek V3 is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive. 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 DeepSeek V3.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.