LLM
Mixtral 8x22B Instruct
Mixtral 8x22B Instruct is the instruction-tuned Mistral sparse mixture-of-experts model with 39B active of 141B parameters, native function calling and a 64K context.
Levelmodel
ClassLLM
Parameters141B
Context64,000
Released17 Apr 2024
Opennessopen weights permissive
Runs onnot in the notes
Statusnot in the notes
Benchmark Results
vendor-reported
GSM8Kmath
maj@8vendor-reported
90.8
050100
Score in %. Higher is better.
MATHmath
maj@4vendor-reported
44.6
050100
Score in %. Higher is better.
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Lineage
instruct of
Mixtral-8x22B-v0.1 is the parent (instruct of)high confidenceHugging Face base_modelWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
R&D Topics
Runtimes
Identity
- Developer
- Mistral AI
- Family
- not in the notes
- Released
- 17 Apr 2024 sourcesannouncement page
- Weights published
- 16 Apr 2024
- Record checked
- 11 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- MoE Sparse mixture of experts
- Total parameters
- 141B sources
- Active parameters
- 39B
- Checkpoint parameters
- –
- Context length
- 64,000 tokens
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Apache License 2.0 sources
- Access routes
- API, open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- vLLM
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- English, French, Italian, German and Spanish
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Industry Use Cases
No industry use case links this model.
Links
DeveloperMistral AIstartup, France
Mistral AIstartup, FranceModelMixtral 8x22B InstructMistral AI, LLM
Mixtral 8x22B InstructMistral AI, LLMR&D TopicsEfficiency Architectures (MoE, Sparse Attention, Long Context)Open-Weight Frontier Releases as Research Substrate
Use CasesClinical LLM (Open Weights)HealthcareProcess Optimisation and Advanced Process ControlIndustrialTelecom Domain LLMs and BenchmarksTelecomUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- mistral.ai/news/mixtral-8x22b https://mistral.ai/news/mixtral-8x22b/
- huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1 https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1
- huggingface.co/api/models/mistralai/Mixtral-8x22B-Instruct-v... https://huggingface.co/api/models/mistralai/Mixtral-8x22B-Instruct-v0.1
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Mixtral 8x22B Instruct", https://aurion.semai.id/models/mistral-ai-mixtral-8x22b-instruct/, records of October 2026.