Vision

Check exact model cardOpen weights where releasedUpdated August 2026

Pixtral 12B

Pixtral 12B is a Mistral-family model worth evaluating for vision-language local and hosted experiments.

Mistral AI · Mistral

Editorial review

Reviewed byOpenSourcesAI EditorialLast updatedAugust 2026SourcesHugging Face model card (mistralai/Pixtral-12B-2409)

Model checkpoints, context windows, provider support, local runtime compatibility, and license terms can change quickly. Verify the exact model card before production or commercial use.

Best for

Vision-language local and hosted experiments

Who should use it

  • Vision-language local and hosted experiments
  • Builders who want local or self-hosted testing options.

Common workflows

  • Vision-language local and hosted experiments
  • vision workflows
  • local workflows
  • open weights workflows

Deployment and hardware notes

Local hardware needs vary by size, quantization, and runtime. Check the exact model card and serving stack.

License and usage notes

Check exact model card. Open weights where released. Verify the exact model card and license terms for the checkpoint or hosted provider you use.

Strengths

  • Open weights where released model option for Mistral workflows.
  • Vision-language local and hosted experiments
  • Use the exact checkpoint and quantization that matches your hardware and latency target.

Limitations

  • Verify license, deployment requirements, runtime support, and fit on your own workload before production use.
  • Local hardware needs vary by size, quantization, and runtime. Check the exact model card and serving stack.
  • Context window and limits: 131,072 tokens.
  • Verify the exact model card, provider docs, license, and serving support before production use.

Local workflow notes

Use the exact checkpoint and quantization that matches your hardware and latency target.

Local runtimes: Ollama where supported, LM Studio where supported, llama.cpp where supported, Transformers

Platforms: Windows, macOS, Linux

Sources to verify

Hugging Face model card (mistralai/Pixtral-12B-2409)

Related resources

Continue with model source notes, local tools, and implementation guides related to this model.

Mistral family hubAI tools directoryModel selection guideModel source notesModels directory
Hardware12B-class multimodal model; plan for roughly 8 GB at Q4_K_M and verify on the exact checkpointRuntimeOllama or LM Studio where supported, llama.cpp, Transformers, vLLMContext131,072 tokensLast updated2026
Hugging Face model card (mistralai/Pixtral-12B-2409) →

Model ecosystem connections

Use these next-step links to move from this profile into related tools, comparisons, guides, stacks, and curated shortlists.

Recommended runtimes and tools

Ollama →LM Studio →llama.cpp →Transformers →vLLM →

Setup and deployment

Check if this model fits your GPU →What can 12GB VRAM run? →What is quantization? GGUF, Q4, Q8 explained →What is VRAM and how much do you need? →

Related model pages

Mistral family hub →Pixtral Large →Codestral 22B →Devstral →Qwen2.5 VL →Llama 3.2 Vision →Mathstral 7B →

Guides, stacks, and comparisons

AI tools directory →Model selection guide →All model comparisons →

Related models

Pixtral LargeVision-language assistant workflowsCodestral 22BCoding assistant workflowsDevstralDeveloper and coding workflow evaluationQwen2.5 VLVision-language assistants, document images, and multimodal agent workflows.Llama 3.2 VisionVision-language experiments, screenshot reasoning, and multimodal app prototypes.Mathstral 7BMath and reasoning evaluation

Ready to run this model locally?

Find a compatible interface in our Local AI Tools directory →