Zephyr ORPO 141B
Zephyr ORPO 141B 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
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
Cheapest of 1 route · DeepInfra
About
The Zephyr ORPO 141B is a cutting-edge large language model by Hugging Face, developed in partnership with Argilla and KAIST. It employs a Mixture of Experts (MoE) architecture, consisting of 141 billion parameters, with 39 billion active during operation. The model is derived from the Mixtral-8x22B framework and fine-tuned using the innovative Odds Ratio Preference Optimization (ORPO) method, which improves computational efficiency by removing the need for a separate supervised fine-tuning phase.
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 | $0.650 | $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