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AWS Bedrock

Mistral.Voxtral Small 24b 2507

Mistral.Voxtral Small 24b 2507 is available via AWS Bedrock with a 128K context window and up to 8,192 output tokens. Pricing: $0.1000/1M input tokens, $0.3000/1M output tokens.

Mistral.Voxtral Small 24b 2507 Pricing & Specifications

Input Price$0.10 per 1M tokens
Output Price$0.30 per 1M tokens
Context Window128,000 tokens (128K)
Max Output8,192 tokens
ProviderAWS Bedrock

What is Mistral.Voxtral Small 24b 2507?

Mistral.Voxtral Small 24b 2507 is a large language model by AWS Bedrock with a 128K context window and up to 8,192 output tokens. It costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Mistral.Voxtral Small 24b 2507 is available via AWS Bedrock with a 128K context window and up to 8,192 output tokens. Pricing: $0.1000/1M input tokens, $0.3000/1M output tokens.

Capabilities

text audio

Mistral.Voxtral Small 24b 2507 Cost Examples

Short prompt (500 tokens)

$0.000050

Medium prompt (2K tokens)

$0.00020

Long output (4K tokens)

$0.00120

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Frequently Asked Questions

How much does Mistral.Voxtral Small 24b 2507 cost per token? +
Mistral.Voxtral Small 24b 2507 costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000250.
What is the context window for Mistral.Voxtral Small 24b 2507? +
Mistral.Voxtral Small 24b 2507 supports a context window of 128,000 tokens (128K). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Mistral.Voxtral Small 24b 2507? +
Mistral.Voxtral Small 24b 2507 can generate up to 8,192 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Mistral.Voxtral Small 24b 2507 good for coding tasks? +
Mistral.Voxtral Small 24b 2507 can handle basic coding tasks, but there are models specifically optimized for code generation that may perform better on complex programming problems.
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