DeepInfra Qwen1.5-72B-Chat
DeepInfra Qwen1.5-72B-Chat is worth evaluating for classification and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating classification and json / tool use
- Workloads that can use a 33k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
Cheapest of 1 route · DeepInfra
About
DeepInfra Qwen1.5-72B-Chat is Alibaba's Qwen1.5 model. It offers a 32K-token context window with weights openly available for self-hosting.
DeepInfra Qwen1.5-72B-Chat is an open-weight model in the Qwen1.5 family. The structured metadata tracks a 33k-token context window and structured outputs. This page tracks provider routes through DeepInfra, with the cheapest tracked route listed at $0.45 input and $0.65 output per 1M tokens. No headline benchmark score is tracked for DeepInfra Qwen1.5-72B-Chat yet.
Top use-case fit
Classification
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
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 |
|---|---|---|---|
| DeepInfra | $0.450 | $0.650 | Serverless |
Capabilities
Benchmark peer barsfor Classification
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 · DeepInfra