Mistral Large 2 vs GPT-4 Turbo
| Mistral Large 2 | GPT-4 Turbo | |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context Window | 128,000 | 128,000 |
| Release Date | 2024-07-24 | 2024-04-09 |
| Input Price | $2.00/ 1M tokens | $10.00/ 1M tokens |
| Output Price | $6.00/ 1M tokens | $30.00/ 1M tokens |
| Best for | coding · reasoning · chatbot · multilingual | — |
Capabilities
| Mistral Large 2 | GPT-4 Turbo | |
|---|---|---|
| Vision | ✗ | ✗ |
| Reasoning | ✓ | ✗ |
| Coding | ✓ | ✗ |
| Audio | ✗ | ✗ |
| Tools | ✓ | ✗ |
| Long Context | ✓ | ✗ |
Ranking Comparison
| Mistral Large 2 | GPT-4 Turbo | |
|---|---|---|
| Overall | 73.6 | 15.8 |
| Benchmark | 88 | 0 |
| Capability | 57.1 | 0 |
| Price Efficiency | 100 | 100 |
| Context | 64 | 64 |
Overall = Benchmark 50% + Capability 20% + Price Efficiency 20% + Context 10%.
Benchmark Comparison
| Mistral Large 2 | GPT-4 Turbo | |
|---|---|---|
| Coding | — | — |
| Reasoning | — | — |
| Math | — | — |
| Vision | — | — |
Price History
Mistral Large 2
| Date | Input | Output |
|---|---|---|
| 2026-08-11 | $2.00 | $6.00 |
/ 1M tokens
GPT-4 Turbo
No price history yet.
/ 1M tokens
Mistral Large 2
Mistral's flagship model with strong reasoning and code generation in multiple languages.
GPT-4 Turbo
GPT-4 Turbo multimodal model
Mistral Large 2
Data Reliability
Benchmark · VerifiedOfficial · Experimental
Data confidence: 90%
GPT-4 Turbo
Data Reliability
Benchmark · ExperimentalOfficial · Experimental
Data confidence: 50%
Why compare these models?
Choose Mistral Large 2 if:
- • Higher overall score
- • Lower input price
Choose GPT-4 Turbo if:
- • General purpose workloads
Frequently Asked Questions
Which model is better: Mistral Large 2 or GPT-4 Turbo?
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: Mistral Large 2 or GPT-4 Turbo?
Mistral Large 2 is cheaper: $2 vs $10 per 1M input tokens.
What are the capability differences between Mistral Large 2 and GPT-4 Turbo?
Mistral Large 2: Reasoning, Coding, Tools, Long Context