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Mixtral 8x7B (MoE)

Reviewed 2026-06-16
Mistral (Ollama)ollama/mixtral-8x7b
Context
32K
Price
Free
Tooling
3/5
Deploy
Local (self-hosted)

Best for

  • Writing and editing code
  • Complex reasoning and analysis
  • Private, offline use on your own hardware

Skip if

  • You don't have a 48GB+ GPU
  • You want a managed, zero-setup API

Capability scores

Tool calling3/5
Multi-step reasoning3/5

Specifications

Context window
32K tokens
VRAM
~48GB
License
apache-2.0
Pricing
Free to run · needs ~48GB GPU
Deployment
Local (self-hosted)

Our take

Mixtral 8x7B (MoE) from Mistral (Ollama) offers a 32K-token context window and is well-suited to coding. It runs on your own hardware, so there is no per-token cost and your data stays private (plan for roughly 48GB of VRAM).

Watch for the trade-offs: there is no managed API — you run and maintain it yourself.

Compare to

Gemma 3 27B
Google (Ollama)
128K context · Free to run · needs ~16GB GPU
Llama 3.1 70B
Meta (Ollama)
128K context · Free to run · needs ~40GB GPU
Mistral Nemo 12B
Mistral (Ollama)
128K context · Free to run · needs ~8GB GPU
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