Mixtral 8x7B Instruct
by Mistral · 46.7B (8x7B MoE) parameters
Today's price · per 1M tokens
Input
$0.700
per 1M tokens
Output
$0.700
per 1M tokens
Blended
$0.700
blended $/1M — 3:1 weighted input:output
Overview
Open-weights MoE model. $0.70/$0.70 per 1M tokens.
Deploy this open model on rented GPUs
Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.
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Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterWe hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.
- HF Open LLM v2 avg: 23.8 (0–100)
Source: HuggingFace Open LLM Leaderboard · updated Jul 1, 2026 · See full rankings →
Specifications
- Provider
- Mistral
- Context window
- 32K tokens
- Modality
- text
- Parameters
- 46.7B (8x7B MoE)
- Open source
- Yes — open weights available
- Released
- Jul 1, 2024
- Status
- Retired ended Mar 30, 2025
- Last updated
- Jul 4, 2026
- Tags
Availability verified: Jul 25, 2026 — per Mistral's own deprecation notice