AIモデルインテリジェンス

Voxtral Small 24B 2507 (Amazon Bedrock, US)

edenai/voxtral-small-24b-2507-us

提供: edenai · ファミリー: voxtral · リリース 2025-07-15

⚠ これはコミュニティのファインチューン / 派生モデルで、ベンダーの公式リリースではありません。

$0.100
入力 / 100万トークン
$0.300
出力 / 100万トークン
128K
コンテキスト長
33K
最大出力

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

機能一覧

✗ ツール呼び出し✗ 推論✗ 構造化出力✓ 添付✓ オープンウェイト✓ 温度制御
モダリティ: 入力 text, audio · 出力 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.

Coding3
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents16
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output29
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency72
  • Headline price (log-scaled)72/95
  • Has prompt-cache pricing0/5
Long context45
  • Context window (100K → 2M)35/90
  • Has published price for full window10/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

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
$0.65
< $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
$1.30
< $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
$0.35
< $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
$1.10
< $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
$1.38
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

料金詳細

推奨料金 (提供元): edenai · amazon/mistral.voxtral-small-24b-2507@us

$0.100
入力
$0.300
出力

1 か所で利用可能

プロバイダープロバイダーモデルID入力 / 1M出力 / 1Mコンテキストリリース日
Eden AI
edenai
amazon/mistral.voxtral-small-24b-2507@us$0.100$0.300128K2025-07-15

Frequently asked questions

How much does Voxtral Small 24B 2507 (Amazon Bedrock, US) cost?

Voxtral Small 24B 2507 (Amazon Bedrock, US) costs $0.100 per 1M input tokens and $0.300 per 1M output tokens, sourced from edenai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Voxtral Small 24B 2507 (Amazon Bedrock, US)?

Voxtral Small 24B 2507 (Amazon Bedrock, US) has a context window of 128K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.

Does Voxtral Small 24B 2507 (Amazon Bedrock, US) support tool calling?

No. Voxtral Small 24B 2507 (Amazon Bedrock, US) does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Voxtral Small 24B 2507 (Amazon Bedrock, US) support structured output / JSON mode?

No. Voxtral Small 24B 2507 (Amazon Bedrock, US) does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can Voxtral Small 24B 2507 (Amazon Bedrock, US) accept image input?

No. Voxtral Small 24B 2507 (Amazon Bedrock, US) only accepts text, audio as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Voxtral Small 24B 2507 (Amazon Bedrock, US) open-weight?

Yes. Voxtral Small 24B 2507 (Amazon Bedrock, US)'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 Voxtral Small 24B 2507 (Amazon Bedrock, US)?

If Voxtral Small 24B 2507 (Amazon Bedrock, US) doesn't fit, consider GPT OSS 120B (FlexAI), Muse Glimmer 30B (Deep Infra), Inkling (Deep Infra). 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More edenai models

Capability lists this model is in

最終更新:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.