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Model Detail

mistralai logo

Mistral: Mistral Small Creative

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Provider: Mistral AICategory: llm
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0.0
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Overview

Mistral: Mistral Small Creative is a large language model released by Mistral AI. And supports text->text inputs.

Pricing & Throughput

Mistral: Mistral Small Creative is priced at $0.1/M input tokens and $0.3/M output tokens. Operationally the model offers a 33K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.

Technical

Mistral: Mistral Small Creative is published on Hugging Face but our pipeline has not yet captured architecture, license, or parameter-count metadata for this entry. The data is refreshed daily, so these fields typically populate within 24–48 hours of release.

Use Cases

Mistral: Mistral Small Creative is best fit for general-purpose chat and instruction-following workloads, and high-volume batch jobs where per-call cost dominates the budget. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Pricing
Input ($/M tokens)
$0.1
Output ($/M tokens)
$0.3
Context Window
33K
Research Paper
arXiv: 2310.06825→
Model Info
Modalitytext->text
Citations3,836 (442 influential)
Recent newsView all news →
Related News
techcrunchneutral85d ago

Mistral is rumored to be raising €3B at €20B valuation

The funding round would value the company at around €20 billion (about $23.15 billion), nearly double its Series C valuation of €11.7 billion.

arxiv121d ago

Making Knowledge Accessible: Divergent Readability-Accuracy Strategies of Mistral and QWen in Biomedical Text Simplification

arXiv:2511.05080v4 Announce Type: replace Abstract: The growing public demand for accessible biomedical information calls for scalable text simplification. While large language models (LLMs) offer solutions, they too struggle with balancing improved readability against preservation of meaning. This

arxivneutral141d ago

Benchmarking Linguistic Adaptation in Comparable-Sized LLMs: A Study of Llama-3.1-8B, Mistral-7B-v0.1, and Qwen3-8B on Romanized Nepali

arXiv:2604.14171v1 Announce Type: new Abstract: Romanized Nepali, the Nepali language written in the Latin alphabet, is the dominant medium for informal digital communication in Nepal, yet it remains critically underresourced in the landscape of Large Language Models (LLMs). This study presents a sy

techcrunch159d ago

Mistral AI raises $830M in debt to set up a data center near Paris

Mistral aims to start operating the data center by the second quarter of 2026.

techcrunch163d ago

Mistral releases a new open source model for speech generation

The model, which lets enterprises build voice agents for sales and customer engagement, puts Mistral in direct competition with the likes of ElevenLabs, Deepgram, and OpenAI.

huggingface776d ago

WWDC 24: Running Mistral 7B with Core ML

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