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Whisper Large v3

scaleway/whisper-large-v3

Par scaleway · famille: whisper · sorti 2023-09-01 · fin de connaissance: 2023-09

$0.003
Entrée / 1M jetons
Unknown
Sortie / 1M jetons
Unknown
Fenêtre de contexte
8K
Sortie max

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

Capacités

Tool callingRaisonnement? Sortie structuréePièces jointesPoids ouvertsContrôle de température
Modalités: entrée audio · sortie text

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
Agents6
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit5/15
  • Provider availability1/10
JSON / structured output20
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control0/10
  • Price-friendly for high-volume20/20
Cost efficiency95
  • Headline price (log-scaled)95/95
  • 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
$0.02
< $0.01 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
$0.03
< $0.01 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
< $0.01
< $0.01 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
$0.02
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$0.04
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Détail des tarifs

Tarif recommandé de scaleway · whisper-large-v3

$0.003
Entrée
Unknown
Sortie

Disponible chez 1 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
Scaleway
scaleway
whisper-large-v3$0.003UnknownUnknown2023-09-01

Frequently asked questions

How much does Whisper Large v3 cost?

Whisper Large v3 costs $0.003 per 1M input tokens and Unknown per 1M output tokens, sourced from scaleway. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

Does Whisper Large v3 support tool calling?

No. Whisper Large v3 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Whisper Large v3 support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Whisper Large v3 in our data source. Verify with scaleway's official documentation before relying on it in production.

Can Whisper Large v3 accept image input?

No. Whisper Large v3 only accepts audio as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Whisper Large v3 open-weight?

Yes. Whisper Large v3's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Whisper Large v3?

If Whisper Large v3 doesn't fit, consider Pixtral 12B 2409, Voxtral Small 24B 2507. 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.

More scaleway models

Capability lists this model is in

Dernière mise à jour :

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.