AI 모델 인텔리전스

Orpheus Arabic Saudi

groq/orpheus-arabic-saudi

제공: groq · 패밀리: canopylabs · 출시 2025-12-16 · 지식 컷오프: 2025-12-16

$40.00
입력 / 1M 토큰
Unknown
출력 / 1M 토큰
4K
컨텍스트 창
50K
최대 출력

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

기능

✗ 도구 호출✗ 추론? 구조화 출력✗ 첨부✗ 오픈 웨이트✓ 온도 제어
모달리티: 입력 text · 출력 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 efficiency22
  • Headline price (log-scaled)22/95
  • Has prompt-cache pricing0/5
Long context0
  • Context ≥ 100K0/100
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K0/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

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

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$200
$0.20 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$400
$0.04 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$80.00
$0.08 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$320
$0.32 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$480
$0.48 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

가격 상세

추천 가격 제공자: groq · canopylabs/orpheus-arabic-saudi

$40.00
입력
Unknown
출력

1곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
Groq
groq
canopylabs/orpheus-arabic-saudi$40.00Unknown4K2025-12-16

Frequently asked questions

How much does Orpheus Arabic Saudi cost?

Orpheus Arabic Saudi costs $40.00 per 1M input tokens and Unknown per 1M output tokens, sourced from groq. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Orpheus Arabic Saudi?

Orpheus Arabic Saudi 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 Arabic Saudi support tool calling?

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

Does Orpheus Arabic Saudi support structured output / JSON mode?

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

Can Orpheus Arabic Saudi accept image input?

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

Is Orpheus Arabic Saudi open-weight?

No. Orpheus Arabic Saudi 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 Arabic Saudi?

If Orpheus Arabic Saudi 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.

Explore more

More groq models

See also

마지막 업데이트:

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.