Canopy Labs Orpheus V1 English pricing, context window and limits
Groq publishes no list price for Canopy Labs Orpheus V1 English. It accepts up to 4,000 tokens of context and returns up to 50,000 tokens.
- Model id
groq/canopylabs/orpheus-v1-english - Snapshot
What does Canopy Labs Orpheus V1 English cost?
| Input | — |
|---|---|
| Output | — |
| Cached input (read) | — |
| Cache write | — |
US dollars per million tokens. A dash means no price is published.
How much can Canopy Labs Orpheus V1 English read and write?
| Context window | 4,000 |
|---|---|
| Max output | 50,000 |
What can Canopy Labs Orpheus V1 English do?
| Vision (image input) | No |
|---|---|
| Tool calling | No |
| Structured output | No |
| Reasoning | No |
| Input | text |
| Output | audio |
How do I call Canopy Labs Orpheus V1 English through DVARA?
Configure the groq provider in the DVARA LLM Gateway and send the model id groq/canopylabs/orpheus-v1-english. DVARA, the AI governance platform, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set is counted as costing nothing. Every cost record says which price it used.
What should I check before relying on this data?
The weekly review marked this entry. A person saw each mark and kept the model listed.
- No input or output list price is published for this model.
- The listed context window is smaller than the listed output limit.
Which other Groq models are there?
- Canopy Labs Orpheus Arabic Saudi— in · — out · 4K context
- Compound— in · — out · 131K context
- ALLaM-2-7b$0 in · $0 out · 4K context
- Compound Mini— in · — out · 131K context
- Llama 3.1 8B$0.05 in · $0.08 out · 131K context
- Llama 3.3 70B$0.59 in · $0.79 out · 131K context
- Llama Prompt Guard 2 22M$0.03 in · $0.03 out · 512 context
- Prompt Guard 2 86M$0.04 in · $0.04 out · 512 context
- GPT OSS 120B$0.15 in · $0.6 out · 131K context
- GPT OSS 20B$0.075 in · $0.3 out · 131K context
- Safety GPT OSS 20B$0.075 in · $0.3 out · 131K context
- Qwen3.6 27B$0.6 in · $3 out · 131K context