Key Specifications
| Vendor | mistral |
|---|
| Version | medium |
|---|
| Release Date | 2023-12-11 |
|---|
| Context Window | 32000 tokens |
|---|
| Input Modalities | text |
|---|
| Output Modalities | text |
|---|
| License | Apache 2.0 |
|---|
| Documentation | https://docs.mistral.ai/ |
|---|
Benchmark Performance
| Benchmark | Score | Unit | Evaluated At | Notes | Source |
|---|
| MMLU | 82.9 | % | 2023-12-11 | 5-shot | view |
| HUMANEVAL | 78 | pass@1 | 2023-12-11 | — | view |
| GSM8K | 82.5 | % | 2023-12-11 | 0-shot CoT | view |
| MATH | 54.9 | % | 2023-12-11 | 0-shot CoT | view |
| BBH | 83.4 | % | 2023-12-11 | 3-shot CoT | view |
| GPQA | 48.7 | % | 2023-12-11 | 0-shot | view |
| IFEVAL | 77.4 | % | 2023-12-11 | prompt_strict | view |
| ARC | 94.6 | % | 2023-12-11 | challenge | view |
| MUSR | 64.3 | % | 2023-12-11 | 0-shot | view |
| WINOGRANDE | 82.4 | % | 2023-12-11 | 0-shot | view |
Pricing
| Tier | Price | Currency |
|---|
| Input | $2.7 / Mtok | USD |
| Output | $8.1 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://mistral.ai/technology/
· as of 2023-12-11
Compliance
- Data Residency: EU
- SOC2: ✓
- HIPAA: ✗
- GDPR: ✓
- ISO 27001: ✓
Mistral Medium
모델 개요
Mistral AI Medium 中端模型, 32K 上下文, 平衡性能与成本, 适合企业级通用任务。
핵심 사양
| 공급업체 | 버전 | 출시일 | 컨텍스트 창 | 입력 모달리티 | 출력 모달리티 | 라이선스 |
|---|
| Mistral | medium | 2023-12-11 | 32K | text | text | Apache 2.0 |
벤치마크 성능
| 벤치마크 | 점수 | 단위 | 비고 |
|---|
| MMLU (Massive Multitask Language Understanding) | 82.9 | % | 5-shot |
| HumanEval | 78.0 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 82.5 | % | 0-shot CoT |
| MATH | 54.9 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 83.4 | % | 3-shot CoT |
| GPQA | 48.7 | % | 0-shot |
| IFEval | 77.4 | % | prompt_strict |
| ARC | 94.6 | % | challenge |
| MUSR | 64.3 | % | 0-shot |
| WinoGrande | 82.4 | % | 0-shot |
가격
백만 토큰당
강점
- MMLU score 82.9, strong knowledge reasoning.
약점
사용 사례
참고문헌