LLM Reference

Code Davinci 001 vs Phi 3.5 MoE Instruct

Code Davinci 001 (2021) and Phi 3.5 MoE Instruct (2024) compare a coding-specialized model against a standalone API model. Code Davinci 001 ships a not-yet-sourced context window, while Phi 3.5 MoE Instruct ships a 128k-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 Phi 3.5 MoE Instruct 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 001Phi 3.5 MoE Instruct
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents and code generationgeneral production evaluation
Decision fitCodingLong context
Context window128k
Cheapest output-$0.50/1M 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 Phi 3.5 MoE Instruct when...
  • Phi 3.5 MoE Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Phi 3.5 MoE Instruct has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags Phi 3.5 MoE Instruct for 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

Phi 3.5 MoE Instruct

$525

Cheapest tracked route/tier: Fireworks AI

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

Switch friction

Code Davinci 001 -> Phi 3.5 MoE Instruct
  • No overlapping tracked provider route is sourced for Code Davinci 001 and Phi 3.5 MoE Instruct; plan for SDK, billing, or endpoint changes.
Phi 3.5 MoE Instruct -> Code Davinci 001
  • No overlapping tracked provider route is sourced for Phi 3.5 MoE Instruct and Code Davinci 001; plan for SDK, billing, or endpoint changes.

Specs

Specification
Released2021-07-012024-08-20
Context window128k
Parameters16x3.8B (42B, 6.6B active)
Architecturedecoder onlydecoder only
LicenseProprietaryMIT(OSI)
OpennessProprietaryOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff-2023-10

Pricing and availability

Pricing attributeCode Davinci 001Phi 3.5 MoE Instruct
Input price-$0.50/1M tokens
Output price-$0.50/1M tokens
Providers-

Capabilities

CapabilityCode Davinci 001Phi 3.5 MoE Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
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 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 Phi 3.5 MoE Instruct 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 001 when coding workflow support are central to the workload. Choose Phi 3.5 MoE Instruct 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 Phi 3.5 MoE Instruct open source?

Code Davinci 001 is listed under Proprietary. Phi 3.5 MoE Instruct 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.

Where can I run Code Davinci 001 and Phi 3.5 MoE Instruct?

Code Davinci 001 is available on the tracked providers still being sourced. Phi 3.5 MoE Instruct is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Code Davinci 001 over Phi 3.5 MoE Instruct?

Treat this as a product-type comparison: Code Davinci 001 is coding-specialized model, while Phi 3.5 MoE Instruct 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 Phi 3.5 MoE Instruct.

What is the main difference between Code Davinci 001 and Phi 3.5 MoE Instruct?

Code Davinci 001 and Phi 3.5 MoE Instruct 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: 2026-05-19. Data sourced from public model cards and provider documentation.