Code Cushman 002 vs Together AI Qwen2-72B-Instruct
Code Cushman 002 (2021) and Together AI Qwen2-72B-Instruct (2024) compare a coding-specialized model against a standalone API model. Code Cushman 002 ships a not-yet-sourced context window, while Together AI Qwen2-72B-Instruct ships a 33k-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 Together AI Qwen2-72B-Instruct is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Code Cushman 002 | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents and code generation | general production evaluation |
| Decision fit | Coding | Classification and JSON / Tool use |
| Context window | — | 33k |
| Cheapest output | - | $0.70/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Code Cushman 002 for Coding.
- Together AI Qwen2-72B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI Qwen2-72B-Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Together AI Qwen2-72B-Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Together AI Qwen2-72B-Instruct for Classification and JSON / Tool use.
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
Together AI Qwen2-72B-Instruct
$735
Cheapest tracked route/tier: Together AI
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Code Cushman 002 and Together AI Qwen2-72B-Instruct; plan for SDK, billing, or endpoint changes.
- Together AI Qwen2-72B-Instruct adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and Code Cushman 002; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2021-11-15 | 2024-06-07 |
| Context window | — | 33k |
| Parameters | — | 72B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Code Cushman 002 | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Input price | - | $0.70/1M tokens |
| Output price | - | $0.70/1M tokens |
| Providers | - |
Capabilities
| Capability | Code Cushman 002 | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Together AI Qwen2-72B-Instruct. 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 Together AI Qwen2-72B-Instruct has $0.70/1M 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 Cushman 002 when coding workflow support are central to the workload. Choose Together AI Qwen2-72B-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 Cushman 002 or Together AI Qwen2-72B-Instruct open source?
Code Cushman 002 is listed under Proprietary. Together AI Qwen2-72B-Instruct is listed under Apache 2.0. 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 structured outputs, Code Cushman 002 or Together AI Qwen2-72B-Instruct?
Together AI Qwen2-72B-Instruct has the clearer documented structured outputs signal in this comparison. If structured outputs 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 Together AI Qwen2-72B-Instruct?
Code Cushman 002 is available on the tracked providers still being sourced. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Code Cushman 002 over Together AI Qwen2-72B-Instruct?
Treat this as a product-type comparison: Code Cushman 002 is coding-specialized model, while Together AI Qwen2-72B-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 Cushman 002; if it depends on provider fit, run the same evaluation with Together AI Qwen2-72B-Instruct.
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Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.