Mixtral 8x22B Instruct
Mixtral 8x22B Instruct by Mistral AI is a sparse MoE model with 141B total and 39B active parameters, native function calling, and Apache 2.0 license.
Model Overview
Capabilities, design details, and architectural traits
Mixtral 8x22B Instruct - Sparse Mixture-of-Experts Instruction-Tuned Model
Mixtral 8x22B Instruct is the instruction fine-tuned version of Mixtral-8x22B-v0.1, a sparse Mixture-of-Experts (SMoE) model by Mistral AI under Apache 2.0. Its defining architectural property is selective parameter activation: only a subset of the model's parameters activate per token during inference, which shapes its throughput characteristics.
Architecture Detail
The SMoE routing mechanism selects which expert sub-networks process each token independently, leaving the remaining experts inactive for that token. This is distinct from dense models where all parameters participate in every forward pass.
Deployment & Status
Both base (Mixtral-8x22B-v0.1) and instruct (Mixtral-8x22B-Instruct-v0.1) checkpoints are available under Apache 2.0. The API endpoint open-mixtral-8x22b has been retired, with Mistral Small 3.2 designated as the official replacement per Mistral's model documentation.
Benchmark Performance
Independent evaluations · Artificial Analysis
Accuracy & Capability Details
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Mistral | Anthropic | Anthropic |
| Release Date | April 17, 2024 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | Jan 2024 | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 66K | 1M Best Context Window | 1M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | Free Best Input Pricing | $4 | $2 |
| Output Pricing | Free Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | textfile | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 5.7 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | - | - | - |
| Agentic Index | - | - | - |
Humanity's Last Exam
Extremely difficult logical reasoning and knowledge.
SciCode Benchmark
Scientific coding and mathematical modeling.
Long Context Reasoning
Logical reasoning over long context windows.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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