AI model comparison
Mistral Large vs GPT-4
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
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
OpenAI
GPT-4
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning
- Input / 1M
- $30
- Output / 1M
- $60
- Context
- 8K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Large
12.9x cheaper for a typical chat
Higher intelligence score
GPT-4
6.7 vs 5.8 on Artificial Analysis
Larger context window
Mistral Large
128K vs 8K tokens
Newer release
Mistral Large
Released February 26, 2024
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Large5.8GPT-46.7Coding index
Mistral LargeNot availableGPT-413.1Agentic index
Mistral LargeNot availableGPT-4Not availablePricing
Mistral Large vs GPT-4 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Large | GPT-4 |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $30 |
| Output tokensPer 1M tokens | $6 | $60 |
| Cached input (read)Per 1M tokens | $0.20 | Not available |
| 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
Mistral Large$7GPT-4$90Coding task
30K in, 4K out
Mistral Large$84$30 cachedGPT-4$1140Long document summary
150K in, 2K out
Mistral Large$312$42 cachedGPT-4$4620Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Large | GPT-4 |
|---|---|---|
| Context window | 128K tokens | 8K tokens |
| Max output | 102K tokens | 4K tokens |
| Input types | File, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | February 26, 2024 | May 28, 2023 |
Features
Supported features
API features available for each model.
| Metric | Mistral Large | GPT-4 |
|---|---|---|
| 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.
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 Turbo
- Mistral Large vs Mixtral 8x22B Instruct
Our take
Mistral Large is 12.9x cheaper for a typical chat. GPT-4 scores higher on the Artificial Analysis Intelligence Index (6.7 vs 5.8). Mistral Large has the larger context window (128K vs 8K tokens). 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 Mistral Large or GPT-4 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 costs $30 per 1M input tokens and $60 per 1M output tokens.
Which has a bigger context window, Mistral Large or GPT-4?
Mistral Large supports up to 128K tokens of context, compared with 8K for GPT-4.
Is Mistral Large smarter than GPT-4?
On the Artificial Analysis Intelligence Index, Mistral Large scores 5.8 and GPT-4 scores 6.7, putting GPT-4 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Large and GPT-4 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Large and GPT-4 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Large and GPT-4 at the same time. Compare the answers side by side and keep the best one.