AI model comparison
GPT-4 Turbo vs Mistral Large
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
GPT-4 Turbo
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling.
- Input / 1M
- $10
- Output / 1M
- $30
- Context
- 128K
Mistral
Mistral Large
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 128K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Large
5x cheaper for a typical chat
Higher intelligence score
GPT-4 Turbo
7 vs 5.8 on Artificial Analysis
Larger context window
Tie
128K vs 128K tokens
Newer release
GPT-4 Turbo
Released April 9, 2024
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-4 Turbo7Mistral Large5.8Coding index
GPT-4 Turbo21.5Mistral LargeNot availableAgentic index
GPT-4 TurboNot availableMistral LargeNot availablePricing
GPT-4 Turbo vs Mistral Large API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-4 Turbo | Mistral Large |
|---|---|---|
| Input tokensPer 1M tokens | $10 | $2 |
| Output tokensPer 1M tokens | $30 | $6 |
| Cached input (read)Per 1M tokens | Not available | $0.20 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-4 Turbo$35Mistral Large$7Coding task
30K in, 4K out
GPT-4 Turbo$420Mistral Large$84$30 cachedLong document summary
150K in, 2K out
GPT-4 Turbo$1560Mistral Large$312$42 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-4 Turbo | Mistral Large |
|---|---|---|
| Context window | 128K tokens | 128K tokens |
| Max output | 4K tokens | 102K tokens |
| Input types | Image, Text | File, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 9, 2024 | February 26, 2024 |
Features
Supported features
API features available for each model.
| Metric | GPT-4 Turbo | Mistral Large |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
GPT-4 TurboView full model details- GPT-4 Turbo vs o1
- GPT-4 Turbo vs GPT-4.1
- GPT-4 Turbo vs o1-pro
- GPT-4 Turbo vs Nova Premier 1.0
- GPT-4 Turbo vs GPT-4o (2024-11-20)
- GPT-4 Turbo vs GPT-4o (2024-08-06)
- GPT-4 Turbo vs Sonar Pro
- GPT-4 Turbo vs Mistral Large 2407
- GPT-4 Turbo vs GPT-4o (2024-05-13)
- GPT-4 Turbo vs GPT-4
- GPT-4 Turbo vs Mixtral 8x22B Instruct
Mistral LargeView full model details- Mistral Large vs Mistral Medium 3.1
- Mistral Large vs Mistral Medium 3
- Mistral Large vs Devstral 2 2512
- Mistral Large vs GPT-4o (2024-11-20)
- Mistral Large vs GPT-4o (2024-08-06)
- Mistral Large vs Sonar Pro
- Mistral Large vs Mistral Large 2407
- Mistral Large vs Hermes 4 405B
- Mistral Large vs GPT-4o (2024-05-13)
- Mistral Large vs Nova Pro 1.0
- Mistral Large vs GPT-4
- Mistral Large vs Mixtral 8x22B Instruct
Our take
Mistral Large is 5x cheaper for a typical chat. GPT-4 Turbo scores higher on the Artificial Analysis Intelligence Index (7 vs 5.8). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GPT-4 Turbo or Mistral Large cheaper?
Mistral Large is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Large costs $2 per 1M input tokens and $6 per 1M output tokens, while GPT-4 Turbo costs $10 per 1M input tokens and $30 per 1M output tokens.
Which has a bigger context window, GPT-4 Turbo or Mistral Large?
GPT-4 Turbo supports up to 128K tokens of context, compared with 128K for Mistral Large.
Is GPT-4 Turbo smarter than Mistral Large?
On the Artificial Analysis Intelligence Index, GPT-4 Turbo scores 7 and Mistral Large scores 5.8, putting GPT-4 Turbo ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GPT-4 Turbo and Mistral Large at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-4 Turbo and Mistral Large answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-4 Turbo and Mistral Large at the same time. Compare the answers side by side and keep the best one.