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AWS Bedrock

Mistral.Ministral 3 14b Instruct

Mistral.Ministral 3 14b Instruct is available via AWS Bedrock with a 128K context window and up to 8,192 output tokens. Pricing: $0.2000/1M input tokens, $0.2000/1M output tokens.

Mistral.Ministral 3 14b Instruct Pricing & Specifications

Input Price$0.20 per 1M tokens
Output Price$0.20 per 1M tokens
Context Window128,000 tokens (128K)
Max Output8,192 tokens
ProviderAWS Bedrock

What is Mistral.Ministral 3 14b Instruct?

Mistral.Ministral 3 14b Instruct is a large language model by AWS Bedrock with a 128K context window and up to 8,192 output tokens. It costs $0.20 per 1M input tokens and $0.20 per 1M output tokens. Mistral.Ministral 3 14b Instruct is available via AWS Bedrock with a 128K context window and up to 8,192 output tokens. Pricing: $0.2000/1M input tokens, $0.2000/1M output tokens.

Capabilities

text function calling

Mistral.Ministral 3 14b Instruct Cost Examples

Short prompt (500 tokens)

$0.000100

Medium prompt (2K tokens)

$0.00040

Long output (4K tokens)

$0.00080

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Frequently Asked Questions

How much does Mistral.Ministral 3 14b Instruct cost per token? +
Mistral.Ministral 3 14b Instruct costs $0.20 per 1M input tokens and $0.20 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000300.
What is the context window for Mistral.Ministral 3 14b Instruct? +
Mistral.Ministral 3 14b Instruct 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.Ministral 3 14b Instruct? +
Mistral.Ministral 3 14b Instruct 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.Ministral 3 14b Instruct good for coding tasks? +
Yes, Mistral.Ministral 3 14b Instruct supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.
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