LLM Reference

Code Davinci 001 vs Nemotron-Nano-12B-v2-VL

Code Davinci 001 (2021) and Nemotron-Nano-12B-v2-VL (2025) compare a coding-specialized model against a standalone API model. Code Davinci 001 ships a not-yet-sourced context window, while Nemotron-Nano-12B-v2-VL ships a not-yet-sourced 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-Nano-12B-v2-VL 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-Nano-12B-v2-VL
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents and code generationmultimodal apps and provider-routed production
Decision fitCodingVision and JSON / Tool use
Context window
Cheapest output-$0.60/1M tokens
Provider routes0 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Code Davinci 001 when...
  • Local decision data tags Code Davinci 001 for Coding.
Choose Nemotron-Nano-12B-v2-VL when...
  • Nemotron-Nano-12B-v2-VL has broader tracked provider coverage for fallback and procurement flexibility.
  • Nemotron-Nano-12B-v2-VL uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
  • Local decision data tags Nemotron-Nano-12B-v2-VL for Vision and JSON / Tool use.

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-Nano-12B-v2-VL

$310

Cheapest tracked route/tier: OpenRouter

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

Switch friction

Code Davinci 001 -> Nemotron-Nano-12B-v2-VL
  • No overlapping tracked provider route is sourced for Code Davinci 001 and Nemotron-Nano-12B-v2-VL; plan for SDK, billing, or endpoint changes.
  • Nemotron-Nano-12B-v2-VL adds Vision, Multimodal, and Structured outputs in local capability data.
Nemotron-Nano-12B-v2-VL -> Code Davinci 001
  • No overlapping tracked provider route is sourced for Nemotron-Nano-12B-v2-VL and Code Davinci 001; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.

Specs

Specification
Released2021-07-012025-10-28
Context window
Parameters12B
Architecturedecoder onlydecoder only
LicenseProprietaryLlama 3 Community
OpennessProprietaryOpen weights
Commercial useCommercial use with conditionsCommercial use with conditions
Knowledge cutoff--

Pricing and availability

Pricing attributeCode Davinci 001Nemotron-Nano-12B-v2-VL
Input price-$0.20/1M tokens
Output price-$0.60/1M tokens
Providers-

Capabilities

CapabilityCode Davinci 001Nemotron-Nano-12B-v2-VL
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoNo
Tool useNoNo
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 vision: Nemotron-Nano-12B-v2-VL, multimodal input: Nemotron-Nano-12B-v2-VL, and structured outputs: Nemotron-Nano-12B-v2-VL. 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-Nano-12B-v2-VL has $0.20/1M input tokens. Provider availability is 0 tracked routes versus 3. 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-Nano-12B-v2-VL when vision-heavy evaluation 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-Nano-12B-v2-VL open source?

Code Davinci 001 is listed under Proprietary. Nemotron-Nano-12B-v2-VL is listed under Llama 3 Community. 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 Nemotron-Nano-12B-v2-VL?

Nemotron-Nano-12B-v2-VL 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Code Davinci 001 or Nemotron-Nano-12B-v2-VL?

Nemotron-Nano-12B-v2-VL 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 structured outputs, Code Davinci 001 or Nemotron-Nano-12B-v2-VL?

Nemotron-Nano-12B-v2-VL 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 Nemotron-Nano-12B-v2-VL?

Code Davinci 001 is available on the tracked providers still being sourced. Nemotron-Nano-12B-v2-VL is available on NVIDIA NIM, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Code Davinci 001 over Nemotron-Nano-12B-v2-VL?

Treat this as a product-type comparison: Code Davinci 001 is coding-specialized model, while Nemotron-Nano-12B-v2-VL 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 vision-heavy evaluation, run the same evaluation with Nemotron-Nano-12B-v2-VL.

Continue comparing

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