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Model details
Ministral 14B 3.0
Ministral 14B 3.0 is a text-only instruction-tuned language model surfaced on Amazon Bedrock under the mistral.ministral-3-14b-instruct identifier, part of the Ministral family of efficient assistants designed for production chat and reasoning workloads. The Bedrock listing frames it as a mid-sized generalist model positioned for conversational AI, agentic workflows, and structured assistance rather than multimodal generation, with text input and text output only. Its practical fit lies in tasks that benefit from a generous context window for retrieving or reasoning over long passages while staying inside a compact parameter footprint typical of the Ministral line, making it a sensible default for cost-sensitive enterprise deployments on Bedrock where Mistral-family behavior is preferred.
From a usage perspective on Bedrock, the model is documented as supporting tool calling and temperature control, enabling it to participate in function-calling agent pipelines and to be tuned via sampling parameters for more deterministic or more exploratory outputs. The listed limits, a 128,000-token context window paired with a 4,096-token maximum output, make it well suited to workflows such as document summarization, retrieval-augmented generation over long knowledge bases, multi-step agent orchestration, and interactive assistants that need to hold extended dialogue history. Bedrock handles the underlying inference, so teams can integrate the model through standard AWS authentication and invoke it alongside other Bedrock-hosted models for routing, evaluation, or fallback strategies in production applications.
Quick Info
Powered by- Provider
- Amazon Bedrock
- Model key
- mistral.ministral-3-14b-instruct
- Release date
- Dec 2, 2025
- Last updated
- Dec 2, 2025
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.20
- Output token cost
- $0.20
Limits
- Output tokens
- 4,096 tokens
- Context window
- 128,000 tokens
Transparent token rates
Compare Ministral 14B 3.0 pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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