LLM Reference

Code Cushman 002 vs Gemini 2.5 Flash

Code Cushman 002 (2021) and Gemini 2.5 Flash (2025) compare a coding-specialized model against a standalone API model. Code Cushman 002 ships a not-yet-sourced context window, while Gemini 2.5 Flash ships a 1m-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 Cushman 002 is coding-specialized model, while Gemini 2.5 Flash is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalCode Cushman 002Gemini 2.5 Flash
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents and code generationmultimodal apps, tool-calling agents, and long-context analysis
Decision fitCodingCoding, RAG, and Agents
Context window1m
Cheapest output-$2.50/1M tokens
Provider routes0 tracked5 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Code Cushman 002 when...
  • Local decision data tags Code Cushman 002 for Coding.
Choose Gemini 2.5 Flash when...
  • Gemini 2.5 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 2.5 Flash has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemini 2.5 Flash uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Gemini 2.5 Flash for Coding, RAG, and Agents.

Monthly cost at traffic

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

Code Cushman 002

Unavailable

No complete token price in local provider data

Gemini 2.5 Flash

$865

Cheapest tracked route/tier: Google AI Studio

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

Switch friction

Code Cushman 002 -> Gemini 2.5 Flash
  • No overlapping tracked provider route is sourced for Code Cushman 002 and Gemini 2.5 Flash; plan for SDK, billing, or endpoint changes.
  • Gemini 2.5 Flash adds Vision, Multimodal, and Function calling in local capability data.
Gemini 2.5 Flash -> Code Cushman 002
  • No overlapping tracked provider route is sourced for Gemini 2.5 Flash and Code Cushman 002; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.

Specs

Specification
Released2021-11-152025-06-17
Context window1m
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
OpennessProprietaryProprietary
Commercial useCommercial use with conditionsCommercial use with conditions
Knowledge cutoff-2025-01

Pricing and availability

Pricing attributeCode Cushman 002Gemini 2.5 Flash
Input price-$0.30/1M tokens
Output price-$2.50/1M tokens
Providers-

Capabilities

CapabilityCode Cushman 002Gemini 2.5 Flash
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoYes
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: Gemini 2.5 Flash, multimodal input: Gemini 2.5 Flash, function calling: Gemini 2.5 Flash, tool use: Gemini 2.5 Flash, structured outputs: Gemini 2.5 Flash, and code execution: Gemini 2.5 Flash. 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 Cushman 002 has no token price sourced yet and Gemini 2.5 Flash has $0.30/1M input tokens. Provider availability is 0 tracked routes versus 5. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Code Cushman 002 when coding workflow support are central to the workload. Choose Gemini 2.5 Flash when coding workflow support 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 Cushman 002 or Gemini 2.5 Flash open source?

Code Cushman 002 is listed under Proprietary. Gemini 2.5 Flash 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 Cushman 002 or Gemini 2.5 Flash?

Gemini 2.5 Flash 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 Cushman 002 or Gemini 2.5 Flash?

Gemini 2.5 Flash 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 function calling, Code Cushman 002 or Gemini 2.5 Flash?

Gemini 2.5 Flash 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 Cushman 002 or Gemini 2.5 Flash?

Gemini 2.5 Flash 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 Cushman 002 and Gemini 2.5 Flash?

Code Cushman 002 is available on the tracked providers still being sourced. Gemini 2.5 Flash is available on Google AI Studio, GCP Vertex AI, Replicate API, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

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