Fireworks Qwen-72B-Chat
Fireworks Qwen-72B-Chat is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 33k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest of 1 route · Fireworks AI
About
Fireworks Qwen-72B-Chat is Alibaba's Qwen model. It offers a 32K-token context window with weights openly available for self-hosting.
Fireworks Qwen-72B-Chat is an open-weight model in the Qwen family. The structured metadata tracks a 33k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.8 input and $0.8 output per 1M tokens. No headline benchmark score is tracked for Fireworks Qwen-72B-Chat yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.800 | $0.800 | Serverless |
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Cheapest of 1 route · Fireworks AI