Intelligence index
Outperforms 11% of compared models
Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed for efficient local deployment.
The model achieves 81% accuracy on the MMLU benchmark and performs competitively with larger models like Llama 3.3 70B and Qwen 32B, while operating at three times the speed on equivalent hardware. Read the blog post about the model here.
- Input / output price
- $0.05/$0.08per 1M tokens
- Context
- 33K
- Released
- 2025-01-30
Pricing
Artificial Analysis
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Mistral Large 4
mistralaiMistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up to 256K output tokens, and supports tool calling and structured outputs.
- Context
- 1.0M
- Max output
- 262.1K
- Released
- 2026-10-06
- Input
- $1.36/M
- Output
- $4.18/M
- Cache read
- $0.14/M
Mistral Medium 3.5
mistralaiMistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi-step reasoning. It is particularly strong at reliable multi-tool calling and long-horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self-hostable on as few as four GPUs and available under open weights.
- Context
- 262K
- Max output
- 209.7K
- Released
- 2026-04-30
- Input
- $1.5/M
- Output
- $7.5/M
- Cache read
- N/A
Mistral Small 4
mistralaiMistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from Magistral, multimodal understanding from Pixtral, and agentic coding capabilities from Devstral, enabling one model to handle complex analysis, software development, and visual tasks within the same workflow.
- Context
- 262K
- Max output
- 209.7K
- Released
- 2026-03-16
- Input
- $0.15/M
- Output
- $0.6/M
- Cache read
- $0.015/M