LLM Reference

Code Davinci 001 vs Nemotron 3 Nano

Code Davinci 001 (2021) and Nemotron 3 Nano (2025) compare a coding-specialized model against a standalone API model. Code Davinci 001 ships a not-yet-sourced context window, while Nemotron 3 Nano ships a 256k-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 Nemotron 3 Nano 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 001Nemotron 3 Nano
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents and code generationtool-calling agents
Decision fitCodingRAG, Agents, and Long context
Context window256k
Cheapest output--
Provider routes0 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Code Davinci 001 when...
  • Local decision data tags Code Davinci 001 for Coding.
Choose Nemotron 3 Nano when...
  • Nemotron 3 Nano has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Nemotron 3 Nano has broader tracked provider coverage for fallback and procurement flexibility.
  • Nemotron 3 Nano uniquely exposes Function calling and Tool use in local model data.
  • Local decision data tags Nemotron 3 Nano for RAG, Agents, and Long context.

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

Nemotron 3 Nano

Unavailable

No complete token price in local provider data

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

Switch friction

Code Davinci 001 -> Nemotron 3 Nano
  • No overlapping tracked provider route is sourced for Code Davinci 001 and Nemotron 3 Nano; plan for SDK, billing, or endpoint changes.
  • Nemotron 3 Nano adds Function calling and Tool use in local capability data.
Nemotron 3 Nano -> Code Davinci 001
  • No overlapping tracked provider route is sourced for Nemotron 3 Nano and Code Davinci 001; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.

Specs

Specification
Released2021-07-012025-12-15
Context window256k
Parameters3.97B
Architecturedecoder onlymixture of experts
LicenseProprietaryNVIDIA Open Model
Knowledge cutoff--

Pricing and availability

Pricing attributeCode Davinci 001Nemotron 3 Nano
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityCode Davinci 001Nemotron 3 Nano
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoNo
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: Nemotron 3 Nano and tool use: Nemotron 3 Nano. 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 Nemotron 3 Nano has no token price sourced yet. Provider availability is 0 tracked routes versus 1. 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 Nemotron 3 Nano 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 Nemotron 3 Nano open source?

Code Davinci 001 is listed under Proprietary. Nemotron 3 Nano is listed under NVIDIA Open Model. 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 Nemotron 3 Nano?

Nemotron 3 Nano 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 Nemotron 3 Nano?

Nemotron 3 Nano 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.

Where can I run Code Davinci 001 and Nemotron 3 Nano?

Code Davinci 001 is available on the tracked providers still being sourced. Nemotron 3 Nano is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Code Davinci 001 over Nemotron 3 Nano?

Treat this as a product-type comparison: Code Davinci 001 is coding-specialized model, while Nemotron 3 Nano 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 Nemotron 3 Nano.

Continue comparing

Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.