vllmsafetensorsmixtralmoemistral-commonfritdeesenlicense:apache-2.0region:us
컨텍스트
32,768 토큰
최대 출력
8,192 토큰
출시일
2024. 4. 16.
제공자
1
Overview
Mixtral-8x22B-v0.1 is a large language model developed by Mistral. It supports 32,768 tokens context and is available through 1 API provider(s).
Key Highlights
- Unknown / Not disclosed
Brand
Mistral
Organization
국가: France
View all models, pricing and details from Mistral.
Specifications
Basic Information
| 모델 | Mixtral-8x22B-v0.1 |
| 브랜드 | Mistral |
| Version | 8 |
| Model Type | vllm |
| 상태 | stable |
| 출시일 | 2024. 4. 16. |
| 인기 | 25927 |
Architecture
| Parameter Size | 140.6B |
| Architecture Type | mixtral |
| Attention Mechanism | causal-moe |
| Tokenizer | Unknown / Not disclosed |
| Vocabulary Size | Unknown / Not disclosed |
Context & I/O
| 컨텍스트 | 32,768 tokens |
| 최대 출력 | 8,192 tokens |
| Modalities | Unknown / Not disclosed |
| Languages | fr,it,de,es,en |
Capabilities
| Vision | No |
| Audio | No |
| Reasoning | No |
| Function Call | No |
| MCP | No |
| JSON Mode | No |
| Embedding | No |
Training Data
| Training Dataset | Unknown / Not disclosed |
| Estimated Data Size | Unknown / Not disclosed |
| Knowledge Cutoff | Unknown / Not disclosed |
Inference & Deployment
| API Access | Yes |
| VRAM Estimate | Unknown / Not disclosed |
| Quantization Support | Unknown / Not disclosed |
| Hardware Requirements | Unknown / Not disclosed |
Safety & Compliance
| Safety Evaluations | Unknown / Not disclosed |
| Content Policy | Unknown / Not disclosed |
| Region Restrictions | Unknown / Not disclosed |
License & Pricing
| License | apache-2.0 |
| Commercial Use | Unknown / Not disclosed |
| Open Source | Yes |
Provider & Pricing
가격 변동
가격 변동 기록이 없습니다.
벤치마크
No benchmark data available.
Changelog
- Page created / data imported2026. 9. 23.
- Last updated2026. 9. 23.
FAQ
What is Mixtral-8x22B-v0.1?
Mixtral-8x22B-v0.1 is a large language model developed by Mistral.
Who developed Mixtral-8x22B-v0.1?
Mixtral-8x22B-v0.1 was developed by Mistral. You can learn more on the brand page or official website.
What is the context length of Mixtral-8x22B-v0.1?
Mixtral-8x22B-v0.1 supports up to 32,768 tokens of context.
How much does Mixtral-8x22B-v0.1 API cost?
API pricing for Mixtral-8x22B-v0.1 starts at ₩0/1M per 1M input tokens and ₩0/1M per 1M output tokens. See the pricing table above for provider-specific rates.