Inteligência em modelos de IA

Orpheus V1 English

groq/orpheus-v1-english

Por groq · família: canopylabs · lançado 2025-12-19 · data de conhecimento: 2025-12-19

Desconhecido
Entrada / 1M tokens
Desconhecido
Saída / 1M tokens
4K
Janela de contexto
50K
Saída máxima

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacidades

Tool callingRaciocínio? Saída estruturadaAnexosPesos abertosControle de temperatura
Modalidades: entrada text · saída audio

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding1
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents16
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output10
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context0
  • Context ≥ 100K0/100
Production-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K0/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)15/15

Cost Efficiency Index

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Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Disponível em 1 provedores

ProvedorID do modelo do provedorEntrada / 1MSaída / 1MContextoLançado
Groq
groq
canopylabs/orpheus-v1-englishUnknownUnknown4K2025-12-19

Frequently asked questions

How much does Orpheus V1 English cost?

Orpheus V1 English does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check groq's official pricing page for the most current rates.

What is the context window of Orpheus V1 English?

Orpheus V1 English has a context window of 4K tokens, with a max output of 50K tokens per reply. This is the total combined size of prompt + completion.

Does Orpheus V1 English support tool calling?

No. Orpheus V1 English does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Orpheus V1 English support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Orpheus V1 English in our data source. Verify with groq's official documentation before relying on it in production.

Can Orpheus V1 English accept image input?

No. Orpheus V1 English only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Orpheus V1 English open-weight?

No. Orpheus V1 English is a proprietary model — only groq (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Orpheus V1 English?

If Orpheus V1 English doesn't fit, consider ALLaM-2-7b, Whisper Large V3, Whisper Large v3 Turbo. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

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Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.