AI model comparison
GPT-4o (2024-05-13) vs Mixtral 8x22B Instruct
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
GPT-4o (2024-05-13)
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs.
- Input / 1M
- $5
- Output / 1M
- $15
- Context
- 128K
Mistral
Mixtral 8x22B Instruct
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 66K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mixtral 8x22B Instruct
2.5x cheaper for a typical chat
Higher intelligence score
GPT-4o (2024-05-13)
7.3 vs 5.7 on Artificial Analysis
Larger context window
GPT-4o (2024-05-13)
128K vs 66K tokens
Newer release
GPT-4o (2024-05-13)
Released May 13, 2024
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-4o (2024-05-13)7.3Mixtral 8x22B Instruct5.7Coding index
GPT-4o (2024-05-13)24.2Mixtral 8x22B InstructNot availableAgentic index
GPT-4o (2024-05-13)Not availableMixtral 8x22B InstructNot availablePricing
GPT-4o (2024-05-13) vs Mixtral 8x22B Instruct API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-4o (2024-05-13) | Mixtral 8x22B Instruct |
|---|---|---|
| Input tokensPer 1M tokens | $5 | $2 |
| Output tokensPer 1M tokens | $15 | $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-4o (2024-05-13)$17.50Mixtral 8x22B Instruct$7Coding task
30K in, 4K out
GPT-4o (2024-05-13)$210Mixtral 8x22B Instruct$84$30 cachedLong document summary
150K in, 2K out
GPT-4o (2024-05-13)$780Mixtral 8x22B Instruct$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 (2024-05-13) | Mixtral 8x22B Instruct |
|---|---|---|
| Context window | 128K tokens | 66K tokens |
| Max output | 4K tokens | 52K 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 | May 13, 2024 | April 17, 2024 |
Features
Supported features
API features available for each model.
| Metric | GPT-4o (2024-05-13) | Mixtral 8x22B Instruct |
|---|---|---|
| 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 (2024-05-13)View full model details- GPT-4o (2024-05-13) vs GPT-4.1
- GPT-4o (2024-05-13) vs o1-pro
- GPT-4o (2024-05-13) vs Nova Premier 1.0
- GPT-4o (2024-05-13) vs GPT-4o (2024-11-20)
- GPT-4o (2024-05-13) vs GPT-4o (2024-08-06)
- GPT-4o (2024-05-13) vs Sonar Pro
- GPT-4o (2024-05-13) vs Mistral Large 2407
- GPT-4o (2024-05-13) vs GPT-4 Turbo
- GPT-4o (2024-05-13) vs GPT-4
- GPT-4o (2024-05-13) vs Mistral Large
Mixtral 8x22B InstructView full model details- Mixtral 8x22B Instruct vs Mistral Medium 3.1
- Mixtral 8x22B Instruct vs Mistral Medium 3
- Mixtral 8x22B Instruct vs Devstral 2 2512
- Mixtral 8x22B Instruct vs GPT-4o (2024-11-20)
- Mixtral 8x22B Instruct vs GPT-4o (2024-08-06)
- Mixtral 8x22B Instruct vs Sonar Pro
- Mixtral 8x22B Instruct vs Mistral Large 2407
- Mixtral 8x22B Instruct vs Hermes 4 405B
- Mixtral 8x22B Instruct vs Nova Pro 1.0
- Mixtral 8x22B Instruct vs GPT-4 Turbo
- Mixtral 8x22B Instruct vs Mistral Large
Our take
Mixtral 8x22B Instruct is 2.5x cheaper for a typical chat. GPT-4o (2024-05-13) scores higher on the Artificial Analysis Intelligence Index (7.3 vs 5.7). GPT-4o (2024-05-13) has the larger context window (128K vs 66K 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 GPT-4o (2024-05-13) or Mixtral 8x22B Instruct cheaper?
Mixtral 8x22B Instruct is cheaper for a typical chat (2K input tokens and 500 output tokens). Mixtral 8x22B Instruct costs $2 per 1M input tokens and $6 per 1M output tokens, while GPT-4o (2024-05-13) costs $5 per 1M input tokens and $15 per 1M output tokens.
Which has a bigger context window, GPT-4o (2024-05-13) or Mixtral 8x22B Instruct?
GPT-4o (2024-05-13) supports up to 128K tokens of context, compared with 66K for Mixtral 8x22B Instruct.
Is GPT-4o (2024-05-13) smarter than Mixtral 8x22B Instruct?
On the Artificial Analysis Intelligence Index, GPT-4o (2024-05-13) scores 7.3 and Mixtral 8x22B Instruct scores 5.7, putting GPT-4o (2024-05-13) ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GPT-4o (2024-05-13) and Mixtral 8x22B Instruct at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-4o (2024-05-13) and Mixtral 8x22B Instruct answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-4o (2024-05-13) and Mixtral 8x22B Instruct at the same time. Compare the answers side by side and keep the best one.