GPT-4 Turbo vs Mistral Large 2407
| Signal | GPT-4 Turbo | Delta | Mistral Large 2407 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 69 | +14 | |
Pricing | 70 | -24 | |
Context window size | 81 | 0 | |
Recency | 0 | -12 | |
Output Capacity | 58 | -23 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
66.7
current score
Tied
right now
66.7
current score
GPT-4 Turbo
OpenAI
Mistral Large 2407
Mistral AI
Mistral Large 2407 saves you $2000.00/month
That's $24000.00/year compared to GPT-4 Turbo at your current usage level of 100K calls/month.
| Metric | GPT-4 Turbo | Mistral Large 2407 | Winner |
|---|---|---|---|
| Overall Score | 67 | 67 | -- |
| Rank | #190 | #189 | Mistral Large 2407 |
| Quality Rank | #190 | #189 | Mistral Large 2407 |
| Adoption Rank | #190 | #189 | Mistral Large 2407 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 131K | Mistral Large 2407 |
| Pricing | $10.00/$30.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | GPT-4 Turbo |
| Benchmarks | 69 | 55 | GPT-4 Turbo |
| Pricing | 70 | 94 | Mistral Large 2407 |
| Context window size | 81 | 81 | Mistral Large 2407 |
| Recency | 0 | 12 | Mistral Large 2407 |
| Output Capacity | 58 | 80 | Mistral Large 2407 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 67/100 (rank #190), placing it in the top 35% of all 290 models tracked.
Scores 67/100 (rank #189), placing it in the top 35% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose GPT-4 Turbo when you need:
- Multimodal workflows that require image understanding
Choose Mistral Large 2407 when you need:
- High-volume production workloads where API costs must be minimized
Mistral Large 2407 offers 80% better value per quality point. At 1M tokens/day, you'd spend $120.00/month with Mistral Large 2407 vs $600.00/month with GPT-4 Turbo - a $480.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Mistral Large 2407 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($6.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (67/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-4 Turbo and Mistral Large 2407 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
GPT-4 Turbo
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large 2407
80% lower pricing; better value at scale
Best for Reliability
GPT-4 Turbo
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 Turbo
Stronger community support and better developer experience
Best for Production
GPT-4 Turbo
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-4 Turbo | Mistral Large 2407 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
GPT-4 Turbo
OpenAI
Mistral Large 2407
Mistral AI
Mistral Large 2407 saves you $43.20/month
That's 80% cheaper than GPT-4 Turbo at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-4 Turbo | Mistral Large 2407 |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 4,096 | 104,857 |
| Open Source | No | No |
| Created | Apr 9, 2024 | Nov 19, 2024 |