AI model comparison
GPT-4o (2024-08-06) 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-4o (2024-08-06)
The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/).
- Input / 1M
- $2.50
- Output / 1M
- $10
- 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
1.4x cheaper for a typical chat
Higher intelligence score
GPT-4o (2024-08-06)
7.7 vs 5.8 on Artificial Analysis
Larger context window
Tie
128K vs 128K tokens
Newer release
GPT-4o (2024-08-06)
Released August 6, 2024
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-4o (2024-08-06)7.7Mistral Large5.8Coding index
GPT-4o (2024-08-06)Not availableMistral LargeNot availableAgentic index
GPT-4o (2024-08-06)Not availableMistral LargeNot availablePricing
GPT-4o (2024-08-06) vs Mistral Large API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-4o (2024-08-06) | Mistral Large |
|---|---|---|
| Input tokensPer 1M tokens | $2.50 | $2 |
| Output tokensPer 1M tokens | $10 | $6 |
| Cached input (read)Per 1M tokens | $1.25 | $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-4o (2024-08-06)$10Mistral Large$7Coding task
30K in, 4K out
GPT-4o (2024-08-06)$115$77.50 cachedMistral Large$84$30 cachedLong document summary
150K in, 2K out
GPT-4o (2024-08-06)$395$207.50 cachedMistral 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-4o (2024-08-06) | Mistral Large |
|---|---|---|
| Context window | 128K tokens | 128K tokens |
| Max output | 16K tokens | 102K tokens |
| Input types | File, Image, Text | File, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | August 6, 2024 | February 26, 2024 |
Features
Supported features
API features available for each model.
| Metric | GPT-4o (2024-08-06) | 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-4o (2024-08-06)View full model details- GPT-4o (2024-08-06) vs GPT-4.1
- GPT-4o (2024-08-06) vs GPT-4.1 Mini
- GPT-4o (2024-08-06) vs o1-pro
- GPT-4o (2024-08-06) vs o3 Mini High
- GPT-4o (2024-08-06) vs Nova Premier 1.0
- GPT-4o (2024-08-06) vs GPT-4o (2024-11-20)
- GPT-4o (2024-08-06) vs Sonar Pro
- GPT-4o (2024-08-06) vs Mistral Large 2407
- GPT-4o (2024-08-06) vs GPT-4o (2024-05-13)
- GPT-4o (2024-08-06) vs GPT-4 Turbo
- GPT-4o (2024-08-06) vs GPT-4
- GPT-4o (2024-08-06) 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 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 GPT-4
- Mistral Large vs Mixtral 8x22B Instruct
Our take
Mistral Large is 1.4x cheaper for a typical chat. GPT-4o (2024-08-06) scores higher on the Artificial Analysis Intelligence Index (7.7 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-4o (2024-08-06) 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-4o (2024-08-06) costs $2.50 per 1M input tokens and $10 per 1M output tokens.
Which has a bigger context window, GPT-4o (2024-08-06) or Mistral Large?
GPT-4o (2024-08-06) supports up to 128K tokens of context, compared with 128K for Mistral Large.
Is GPT-4o (2024-08-06) smarter than Mistral Large?
On the Artificial Analysis Intelligence Index, GPT-4o (2024-08-06) scores 7.7 and Mistral Large scores 5.8, putting GPT-4o (2024-08-06) ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GPT-4o (2024-08-06) and Mistral Large at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-4o (2024-08-06) and Mistral Large answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-4o (2024-08-06) and Mistral Large at the same time. Compare the answers side by side and keep the best one.