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Aquila 2 34B vs Code Cushman 002

Aquila 2 34B (2023) and Code Cushman 002 (2021) are agentic coding models from Beijing Academy of Artificial Intelligence (BAAI) and OpenAI. Aquila 2 34B ships a not-yet-sourced context window, while Code Cushman 002 ships a not-yet-sourced 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.

Aquila 2 34B is safer overall; choose Code Cushman 002 when coding workflow support matters.

Specs

Specification
Released2023-11-022021-11-15
Context window
Parameters34B
Architecturedecoder onlydecoder only
LicenseUnknownProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeAquila 2 34BCode Cushman 002
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

CapabilityAquila 2 34BCode Cushman 002
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: Aquila 2 34B has no token price sourced yet and Code Cushman 002 has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Aquila 2 34B when provider fit are central to the workload. Choose Code Cushman 002 when coding workflow support 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 Aquila 2 34B or Code Cushman 002 open source?

Aquila 2 34B is listed under Unknown. Code Cushman 002 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.

When should I pick Aquila 2 34B over Code Cushman 002?

Aquila 2 34B is safer overall; choose Code Cushman 002 when coding workflow support matters. If your workload also depends on provider fit, start with Aquila 2 34B; if it depends on coding workflow support, run the same evaluation with Code Cushman 002.

What is the main difference between Aquila 2 34B and Code Cushman 002?

Aquila 2 34B and Code Cushman 002 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: 2026-05-10. Data sourced from public model cards and provider documentation.