Model Cost Profile

Mistral: Voxtral Small 24B 2507

Developer: mistralai

Pricing updated Mar 11, 2026

Input rank: #90Output rank: #89

Live Pricing

Input: $0.1000

Output: $0.3000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Mistral: Voxtral Small 24B 2507, developed by mistralai, offers a substantial context window of 32,000 tokens, making it ideal for applications requiring extensive text analysis or multi-turn conversations. With an input pricing of $0.10 per million tokens and an output pricing of $0.30 per million tokens, teams can optimize their budget while leveraging its capabilities for tasks such as content generation, customer support automation, and data extraction. This model's efficiency allows organizations to scale their AI solutions effectively while managing costs associated with high-volume token usage.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

32,000

Tokens

Input Price / 1M

$0.1000

Prompt tokens

Output Price / 1M

$0.3000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Mistral: Voxtral Small 24B 2507 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.1000$0.2000$0.3000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.1000

Current Output / 1M

$0.3000

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FAQ

Common pricing and benchmark questions for Mistral: Voxtral Small 24B 2507.

How much does Mistral: Voxtral Small 24B 2507 cost per 1M input tokens?

Mistral: Voxtral Small 24B 2507 input pricing is $0.1000 per 1M tokens based on the latest synced provider data.

How much does Mistral: Voxtral Small 24B 2507 cost per 1M output tokens?

Mistral: Voxtral Small 24B 2507 output pricing is $0.3000 per 1M tokens based on the latest synced provider data.

What context window does Mistral: Voxtral Small 24B 2507 support?

Mistral: Voxtral Small 24B 2507 supports a context window of 32,000 tokens.

How can I compare Mistral: Voxtral Small 24B 2507 with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.