AI model comparison
Mistral Medium 3.1 vs Mistral Large
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Mistral Medium 3.1
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost.
- Input / 1M
- $0.40
- Output / 1M
- $2
- Context
- 131K
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 Medium 3.1
3.9x cheaper for a typical chat
Higher intelligence score
Mistral Medium 3.1
9.2 vs 5.8 on Artificial Analysis
Larger context window
Mistral Medium 3.1
131K vs 128K tokens
Newer release
Mistral Medium 3.1
Released August 13, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Medium 3.19.2Mistral Large5.8Coding index
Mistral Medium 3.120.5Mistral LargeNot availableAgentic index
Mistral Medium 3.11.9Mistral LargeNot availablePricing
Mistral Medium 3.1 vs Mistral Large API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Medium 3.1 | Mistral Large |
|---|---|---|
| Input tokensPer 1M tokens | $0.40 | $2 |
| Output tokensPer 1M tokens | $2 | $6 |
| Cached input (read)Per 1M tokens | $0.04 | $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 Medium 3.1$1.80Mistral Large$7Coding task
30K in, 4K out
Mistral Medium 3.1$20$9.20 cachedMistral Large$84$30 cachedLong document summary
150K in, 2K out
Mistral Medium 3.1$64$10 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 | Mistral Medium 3.1 | Mistral Large |
|---|---|---|
| Context window | 131K tokens | 128K tokens |
| Max output | 105K 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 13, 2025 | February 26, 2024 |
Features
Supported features
API features available for each model.
| Metric | Mistral Medium 3.1 | 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.
Mistral Medium 3.1View full model details- Mistral Medium 3.1 vs GPT-4.1 Mini
- Mistral Medium 3.1 vs Mistral Small 4
- Mistral Medium 3.1 vs Qwen3 VL 235B A22B Instruct
- Mistral Medium 3.1 vs DeepSeek V3 0324
- Mistral Medium 3.1 vs Qwen3 Next 80B A3B Instruct
- Mistral Medium 3.1 vs Qwen3 Coder Next
- Mistral Medium 3.1 vs Mistral Large 3 2512
- Mistral Medium 3.1 vs Mistral Medium 3
- Mistral Medium 3.1 vs Devstral 2 2512
- Mistral Medium 3.1 vs GLM 4.5V
- Mistral Medium 3.1 vs Mistral Large 2407
- Mistral Medium 3.1 vs Hermes 4 405B
- Mistral Medium 3.1 vs Nova Pro 1.0
- Mistral Medium 3.1 vs Mixtral 8x22B Instruct
Mistral LargeView full model details- 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 GPT-4
- Mistral Large vs Mixtral 8x22B Instruct
Our take
Mistral Medium 3.1 is 3.9x cheaper for a typical chat. Mistral Medium 3.1 scores higher on the Artificial Analysis Intelligence Index (9.2 vs 5.8). Mistral Medium 3.1 has the larger context window (131K vs 128K 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 Medium 3.1 or Mistral Large cheaper?
Mistral Medium 3.1 is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Medium 3.1 costs $0.40 per 1M input tokens and $2 per 1M output tokens, while Mistral Large costs $2 per 1M input tokens and $6 per 1M output tokens.
Which has a bigger context window, Mistral Medium 3.1 or Mistral Large?
Mistral Medium 3.1 supports up to 131K tokens of context, compared with 128K for Mistral Large.
Is Mistral Medium 3.1 smarter than Mistral Large?
On the Artificial Analysis Intelligence Index, Mistral Medium 3.1 scores 9.2 and Mistral Large scores 5.8, putting Mistral Medium 3.1 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Medium 3.1 and Mistral Large at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Medium 3.1 and Mistral Large answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Medium 3.1 and Mistral Large at the same time. Compare the answers side by side and keep the best one.