DeepSeek V2.5 vs Mistral Large 2
| DeepSeek V2.5 | Mistral Large 2 | |
|---|---|---|
| 공급자 | DeepSeek | Mistral |
| 컨텍스트 창 | 128,000 | 128,000 |
| 출시일 | 2024-09-05 | 2024-07-24 |
| 입력 가격 | $0.14/ 1M 토큰 | $2.00/ 1M 토큰 |
| 출력 가격 | $0.28/ 1M 토큰 | $6.00/ 1M 토큰 |
| 추천 용도 | — | coding · reasoning · chatbot · multilingual |
기능 매트릭스
| DeepSeek V2.5 | Mistral Large 2 | |
|---|---|---|
| 비전 | ✗ | ✗ |
| 추론 | ✗ | ✓ |
| 코딩 | ✗ | ✓ |
| 오디오 | ✗ | ✗ |
| 도구 호출 | ✗ | ✓ |
| 긴 컨텍스트 | ✗ | ✓ |
랭킹 비교
| DeepSeek V2.5 | Mistral Large 2 | |
|---|---|---|
| 종합 | 15.8 | 73.6 |
| 벤치마크 | 0 | 88 |
| 기능 | 0 | 57.1 |
| 가격 효율 | 100 | 100 |
| 컨텍스트 | 64 | 64 |
종합 = 벤치마크 50% + 기능 20% + 가격 효율 20% + 컨텍스트 10%.
벤치마크 비교
| DeepSeek V2.5 | Mistral Large 2 | |
|---|---|---|
| 코딩 | — | — |
| 추론 | — | — |
| 수학 | — | — |
| 비전 | — | — |
가격 이력
DeepSeek V2.5
가격 이력이 아직 없습니다.
/ 1M 토큰
Mistral Large 2
| 날짜 | 입력 | 출력 |
|---|---|---|
| 2026-08-11 | $2.00 | $6.00 |
/ 1M 토큰
DeepSeek V2.5
DeepSeek V2.5 model
Mistral Large 2
Mistral's flagship model with strong reasoning and code generation in multiple languages.
DeepSeek V2.5
Data Reliability
Benchmark · ExperimentalOfficial · Experimental
Data confidence: 50%
Mistral Large 2
Data Reliability
Benchmark · VerifiedOfficial · Experimental
Data confidence: 90%
Why compare these models?
Choose DeepSeek V2.5 if:
- • Lower input price
Choose Mistral Large 2 if:
- • Higher overall score
Frequently Asked Questions
Which model is better: DeepSeek V2.5 or Mistral Large 2?
Based on overall scores, Mistral Large 2 ranks higher (73.6 vs 15.8). See the comparison table for a full breakdown.
Which model is cheaper: DeepSeek V2.5 or Mistral Large 2?
DeepSeek V2.5 is cheaper: $0.14 vs $2 per 1M input tokens.
What are the capability differences between DeepSeek V2.5 and Mistral Large 2?
Mistral Large 2: 추론, 코딩, 도구 호출, 긴 컨텍스트