LLM Reference

Code Davinci 002 vs Nano Banana 2 (Gemini 3.1 Flash Image)

Code Davinci 002 (2021) and Nano Banana 2 (Gemini 3.1 Flash Image) (2026) compare a coding-specialized model against a standalone API model. Code Davinci 002 ships a not-yet-sourced context window, while Nano Banana 2 (Gemini 3.1 Flash Image) ships a 131k-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 002 is coding-specialized model, while Nano Banana 2 (Gemini 3.1 Flash Image) 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 002Nano Banana 2 (Gemini 3.1 Flash Image)
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents and code generationreasoning-heavy apps and multimodal apps
Decision fitCodingLong context and Vision
Context window131k
Cheapest output-$60/1M tokens
Provider routes0 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Code Davinci 002 when...
  • Local decision data tags Code Davinci 002 for Coding.
Choose Nano Banana 2 (Gemini 3.1 Flash Image) when...
  • Nano Banana 2 (Gemini 3.1 Flash Image) has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Nano Banana 2 (Gemini 3.1 Flash Image) has broader tracked provider coverage for fallback and procurement flexibility.
  • Nano Banana 2 (Gemini 3.1 Flash Image) uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Nano Banana 2 (Gemini 3.1 Flash Image) for Long context and Vision.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Code Davinci 002

Unavailable

No complete token price in local provider data

Nano Banana 2 (Gemini 3.1 Flash Image)

$15,400

Cheapest tracked route/tier: Google AI Studio

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

Switch friction

Code Davinci 002 -> Nano Banana 2 (Gemini 3.1 Flash Image)
  • No overlapping tracked provider route is sourced for Code Davinci 002 and Nano Banana 2 (Gemini 3.1 Flash Image); plan for SDK, billing, or endpoint changes.
  • Nano Banana 2 (Gemini 3.1 Flash Image) adds Vision, Multimodal, and Reasoning in local capability data.
Nano Banana 2 (Gemini 3.1 Flash Image) -> Code Davinci 002
  • No overlapping tracked provider route is sourced for Nano Banana 2 (Gemini 3.1 Flash Image) and Code Davinci 002; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.

Specs

Specification
Released2021-08-162026-05-28
Context window131k
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff-2025-01

Pricing and availability

Pricing attributeCode Davinci 002Nano Banana 2 (Gemini 3.1 Flash Image)
Input price-$0.50/1M tokens
Output price-$60/1M tokens
Providers-

Capabilities

CapabilityCode Davinci 002Nano Banana 2 (Gemini 3.1 Flash Image)
VisionNoYes
MultimodalNoYes
ReasoningNoYes
Function callingNoNo
Tool useNoNo
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 vision: Nano Banana 2 (Gemini 3.1 Flash Image), multimodal input: Nano Banana 2 (Gemini 3.1 Flash Image), and reasoning mode: Nano Banana 2 (Gemini 3.1 Flash Image). 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 002 has no token price sourced yet and Nano Banana 2 (Gemini 3.1 Flash Image) has $0.50/1M input tokens. 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 002 when coding workflow support are central to the workload. Choose Nano Banana 2 (Gemini 3.1 Flash Image) when reasoning depth 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.

FAQ

Is Code Davinci 002 or Nano Banana 2 (Gemini 3.1 Flash Image) open source?

Code Davinci 002 is listed under Proprietary. Nano Banana 2 (Gemini 3.1 Flash Image) 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.

Which is better for vision, Code Davinci 002 or Nano Banana 2 (Gemini 3.1 Flash Image)?

Nano Banana 2 (Gemini 3.1 Flash Image) 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.

Which is better for multimodal input, Code Davinci 002 or Nano Banana 2 (Gemini 3.1 Flash Image)?

Nano Banana 2 (Gemini 3.1 Flash Image) 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 reasoning mode, Code Davinci 002 or Nano Banana 2 (Gemini 3.1 Flash Image)?

Nano Banana 2 (Gemini 3.1 Flash Image) has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 002 and Nano Banana 2 (Gemini 3.1 Flash Image)?

Code Davinci 002 is available on the tracked providers still being sourced. Nano Banana 2 (Gemini 3.1 Flash Image) is available on Google AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Code Davinci 002 over Nano Banana 2 (Gemini 3.1 Flash Image)?

Treat this as a product-type comparison: Code Davinci 002 is coding-specialized model, while Nano Banana 2 (Gemini 3.1 Flash Image) 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 002; if it depends on reasoning depth, run the same evaluation with Nano Banana 2 (Gemini 3.1 Flash Image).

Continue comparing

Last reviewed: 2026-05-31. Data sourced from public model cards and provider documentation.