Mistral Small 3 ( 2501 ) sets a new benchmark in the "small" Large Language Models category below 70B, boasting 24B parameters and achieving state-of-the-art capabilities comparable to larger models!
Mistral Small 24B Instruct 2501 can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model
On-demand deployments allow you to use Mistral Small 24B Instruct 2501 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.
Mistral Small 24B Instruct 2501 is an instruction-tuned version of the base Mistral Small 24B model, developed by Mistral AI. It is designed as a high-performance, "small" LLM (under 70B parameters) that competes with much larger models. It supports multilingual tasks and is well-suited for chat, reasoning, and structured output generation.
Its performance is validated across generalist, reasoning, and coding benchmarks.
The model supports a context window of 32,768 tokens.
The full 32.8K token context window is available on Fireworks' on-demand deployments with no rate limits.
The model has 23.6 billion parameters.
Yes. Fireworks supports LoRA-based fine-tuning through its RFT infrastructure.
Fireworks charges based on combined input + output token usage.
The model is released under the Apache 2.0 license, allowing unrestricted commercial use.
