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Code Davinci 001 vs GPT-4o Audio

Code Davinci 001 (2021) and GPT-4o Audio (2024) are agentic coding models from OpenAI. Code Davinci 001 ships a not-yet-sourced context window, while GPT-4o Audio ships a 128K-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. The goal is to make the tradeoff clear before deeper testing.

GPT-4o Audio is safer overall; choose Code Davinci 001 when coding workflow support matters.

Decision scorecard

Local evidence first
SignalCode Davinci 001GPT-4o Audio
Decision fitCodingLong context
Context window128K
Cheapest output-$10/1M tokens
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 GPT-4o Audio when...
  • GPT-4o Audio has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-4o Audio has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags GPT-4o Audio 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

GPT-4o Audio

$4,500

Cheapest tracked route: OpenRouter

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

Switch friction

Code Davinci 001 -> GPT-4o Audio
  • No overlapping tracked provider route is sourced for Code Davinci 001 and GPT-4o Audio; plan for SDK, billing, or endpoint changes.
GPT-4o Audio -> Code Davinci 001
  • No overlapping tracked provider route is sourced for GPT-4o Audio and Code Davinci 001; plan for SDK, billing, or endpoint changes.

Specs

Specification
Released2021-07-012024-10-01
Context window128K
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryUnknown
Knowledge cutoff--

Pricing and availability

Pricing attributeCode Davinci 001GPT-4o Audio
Input price-$2.5/1M tokens
Output price-$10/1M tokens
Providers-

Capabilities

CapabilityCode Davinci 001GPT-4o Audio
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo

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 GPT-4o Audio has $2.5/1M 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 001 when coding workflow support are central to the workload. Choose GPT-4o Audio 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 GPT-4o Audio open source?

Code Davinci 001 is listed under Proprietary. GPT-4o Audio is listed under Unknown. 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 GPT-4o Audio?

Code Davinci 001 is available on the tracked providers still being sourced. GPT-4o Audio is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Code Davinci 001 over GPT-4o Audio?

GPT-4o Audio 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 GPT-4o Audio.

What is the main difference between Code Davinci 001 and GPT-4o Audio?

Code Davinci 001 and GPT-4o Audio 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: 2026-05-11. Data sourced from public model cards and provider documentation.