DeepSeek V2.5 vs Mistral Large 2
| DeepSeek V2.5 | Mistral Large 2 | |
|---|---|---|
| Provider | DeepSeek | Mistral |
| Context Window | 128,000 | 128,000 |
| Release Date | 2024-09-05 | 2024-07-24 |
| Input Price | $0.14/ 1M tokens | $2.00/ 1M tokens |
| Output Price | $0.28/ 1M tokens | $6.00/ 1M tokens |
| Best for | — | coding · reasoning · chatbot · multilingual |
Capabilities
| DeepSeek V2.5 | Mistral Large 2 | |
|---|---|---|
| Vision | ✗ | ✗ |
| Reasoning | ✗ | ✓ |
| Coding | ✗ | ✓ |
| Audio | ✗ | ✗ |
| Tools | ✗ | ✓ |
| Long Context | ✗ | ✓ |
Ranking Comparison
| DeepSeek V2.5 | Mistral Large 2 | |
|---|---|---|
| Overall | 15.8 | 73.6 |
| Benchmark | 0 | 88 |
| Capability | 0 | 57.1 |
| Price Efficiency | 100 | 100 |
| Context | 64 | 64 |
Overall = Benchmark 50% + Capability 20% + Price Efficiency 20% + Context 10%.
Benchmark Comparison
| DeepSeek V2.5 | Mistral Large 2 | |
|---|---|---|
| Coding | — | — |
| Reasoning | — | — |
| Math | — | — |
| Vision | — | — |
Price History
DeepSeek V2.5
No price history yet.
/ 1M tokens
Mistral Large 2
| Date | Input | Output |
|---|---|---|
| 2026-08-11 | $2.00 | $6.00 |
/ 1M tokens
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: Reasoning, Coding, Tools, Long Context