LLM Reference

Falcon 180B vs Together AI Qwen2-72B-Instruct

Falcon 180B (2023) and Together AI Qwen2-72B-Instruct (2024) are compact production models from Technology Innovation Institute (TII) and Alibaba. Falcon 180B ships a not-yet-sourced context window, while Together AI Qwen2-72B-Instruct ships a 33k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Together AI Qwen2-72B-Instruct is safer overall; choose Falcon 180B when provider fit matters.

Decision scorecard

Local evidence first
SignalFalcon 180BTogether AI Qwen2-72B-Instruct
Best forprovider-routed productiongeneral production evaluation
Decision fitClassificationClassification and JSON / Tool use
Context window33k
Cheapest output-$0.70/1M tokens
Provider routes2 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Falcon 180B when...
  • Falcon 180B has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags Falcon 180B for Classification.
Choose Together AI Qwen2-72B-Instruct when...
  • Together AI Qwen2-72B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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.

Falcon 180B

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

Falcon 180B -> Together AI Qwen2-72B-Instruct
  • No overlapping tracked provider route is sourced for Falcon 180B 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.
Together AI Qwen2-72B-Instruct -> Falcon 180B
  • No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and Falcon 180B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.

Specs

Specification
Released2023-11-282024-06-07
Context window33k
Parameters180B72B
Architecturedecoder onlydecoder only
LicenseApache 2.0(OSI)Apache 2.0(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff--

Pricing and availability

Pricing attributeFalcon 180BTogether AI Qwen2-72B-Instruct
Input price-$0.70/1M tokens
Output price-$0.70/1M tokens
Providers

Capabilities

CapabilityFalcon 180BTogether AI Qwen2-72B-Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
Code executionNoNo
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 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: Falcon 180B has no token price sourced yet and Together AI Qwen2-72B-Instruct has $0.70/1M input tokens. Provider availability is 2 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Falcon 180B when provider fit and broader provider choice are central to the workload. Choose Together AI Qwen2-72B-Instruct when provider fit 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 Falcon 180B or Together AI Qwen2-72B-Instruct open source?

Falcon 180B is listed under Apache 2.0. 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, Falcon 180B 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 Falcon 180B and Together AI Qwen2-72B-Instruct?

Falcon 180B is available on Alibaba Cloud PAI-EAS and Scale AI GenAI Platform. 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 Falcon 180B over Together AI Qwen2-72B-Instruct?

Together AI Qwen2-72B-Instruct is safer overall; choose Falcon 180B when provider fit matters. If your workload also depends on provider fit, start with Falcon 180B; if it depends on provider fit, run the same evaluation with Together AI Qwen2-72B-Instruct.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.