AI model comparison
Mistral Large 2407 vs Mixtral 8x22B Instruct
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Mistral Large 2407
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
- 131K
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
Tie
Same price for a typical chat
Higher intelligence score
Mistral Large 2407
7.6 vs 5.7 on Artificial Analysis
Larger context window
Mistral Large 2407
131K vs 66K tokens
Newer release
Mistral Large 2407
Released November 19, 2024
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Large 24077.6Mixtral 8x22B Instruct5.7Coding index
Mistral Large 2407Not availableMixtral 8x22B InstructNot availableAgentic index
Mistral Large 2407Not availableMixtral 8x22B InstructNot availablePricing
Mistral Large 2407 vs Mixtral 8x22B Instruct API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Large 2407 | Mixtral 8x22B Instruct |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $2 |
| Output tokensPer 1M tokens | $6 | $6 |
| Cached input (read)Per 1M tokens | $0.20 | $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
Mistral Large 2407$7Mixtral 8x22B Instruct$7Coding task
30K in, 4K out
Mistral Large 2407$84$30 cachedMixtral 8x22B Instruct$84$30 cachedLong document summary
150K in, 2K out
Mistral Large 2407$312$42 cachedMixtral 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 | Mistral Large 2407 | Mixtral 8x22B Instruct |
|---|---|---|
| Context window | 131K tokens | 66K tokens |
| Max output | 105K tokens | 52K tokens |
| Input types | File, Text | File, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | November 19, 2024 | April 17, 2024 |
Features
Supported features
API features available for each model.
| Metric | Mistral Large 2407 | 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.
Mistral Large 2407View full model details- Mistral Large 2407 vs Mistral Medium 3.1
- Mistral Large 2407 vs Nova Premier 1.0
- Mistral Large 2407 vs Mistral Medium 3
- Mistral Large 2407 vs Devstral 2 2512
- Mistral Large 2407 vs GPT-4o (2024-11-20)
- Mistral Large 2407 vs GPT-4o (2024-08-06)
- Mistral Large 2407 vs Sonar Pro
- Mistral Large 2407 vs Hermes 4 405B
- Mistral Large 2407 vs GPT-4o (2024-05-13)
- Mistral Large 2407 vs Nova Pro 1.0
- Mistral Large 2407 vs GPT-4 Turbo
- Mistral Large 2407 vs GPT-4
- Mistral Large 2407 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 Hermes 4 405B
- Mixtral 8x22B Instruct vs GPT-4o (2024-05-13)
- Mixtral 8x22B Instruct vs Nova Pro 1.0
- Mixtral 8x22B Instruct vs GPT-4 Turbo
- Mixtral 8x22B Instruct vs Mistral Large
Our take
Mistral Large 2407 scores higher on the Artificial Analysis Intelligence Index (7.6 vs 5.7). Mistral Large 2407 has the larger context window (131K 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 Mistral Large 2407 or Mixtral 8x22B Instruct cheaper?
Mistral Large 2407 and Mixtral 8x22B Instruct cost the same for a typical chat (2K input tokens and 500 output tokens). Mistral Large 2407 costs $2 per 1M input tokens and $6 per 1M output tokens, and Mixtral 8x22B Instruct costs $2 per 1M input tokens and $6 per 1M output tokens.
Which has a bigger context window, Mistral Large 2407 or Mixtral 8x22B Instruct?
Mistral Large 2407 supports up to 131K tokens of context, compared with 66K for Mixtral 8x22B Instruct.
Is Mistral Large 2407 smarter than Mixtral 8x22B Instruct?
On the Artificial Analysis Intelligence Index, Mistral Large 2407 scores 7.6 and Mixtral 8x22B Instruct scores 5.7, putting Mistral Large 2407 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Large 2407 and Mixtral 8x22B Instruct at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Large 2407 and Mixtral 8x22B Instruct answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Large 2407 and Mixtral 8x22B Instruct at the same time. Compare the answers side by side and keep the best one.