AI model comparison
Mistral Large 3 2512 vs Mistral Medium 3.1
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Mistral Large 3 2512
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
- Input / 1M
- $0.50
- Output / 1M
- $1.50
- Context
- 262K
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
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Large 3 2512
1.0x cheaper for a typical chat
Higher intelligence score
Mistral Large 3 2512
9.3 vs 9.2 on Artificial Analysis
Larger context window
Mistral Large 3 2512
262K vs 131K tokens
Newer release
Mistral Large 3 2512
Released December 1, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Large 3 25129.3Mistral Medium 3.19.2Coding index
Mistral Large 3 251220.1Mistral Medium 3.120.5Agentic index
Mistral Large 3 25121Mistral Medium 3.11.9Pricing
Mistral Large 3 2512 vs Mistral Medium 3.1 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Large 3 2512 | Mistral Medium 3.1 |
|---|---|---|
| Input tokensPer 1M tokens | $0.50 | $0.40 |
| Output tokensPer 1M tokens | $1.50 | $2 |
| Cached input (read)Per 1M tokens | $0.05 | $0.04 |
| 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 3 2512$1.75Mistral Medium 3.1$1.80Coding task
30K in, 4K out
Mistral Large 3 2512$21$7.50 cachedMistral Medium 3.1$20$9.20 cachedLong document summary
150K in, 2K out
Mistral Large 3 2512$78$10.50 cachedMistral Medium 3.1$64$10 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 3 2512 | Mistral Medium 3.1 |
|---|---|---|
| Context window | 262K tokens | 131K tokens |
| Max output | 210K tokens | 105K tokens |
| Input types | File, Image, Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | December 1, 2025 | August 13, 2025 |
Features
Supported features
API features available for each model.
| Metric | Mistral Large 3 2512 | Mistral Medium 3.1 |
|---|---|---|
| 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 3 2512View full model details- Mistral Large 3 2512 vs Mistral Small 4
- Mistral Large 3 2512 vs GPT-4.1 Mini
- Mistral Large 3 2512 vs Qwen3 VL 235B A22B Instruct
- Mistral Large 3 2512 vs DeepSeek V3 0324
- Mistral Large 3 2512 vs Qwen3 Next 80B A3B Instruct
- Mistral Large 3 2512 vs Qwen3 VL 30B A3B Thinking
- Mistral Large 3 2512 vs Qwen3 Coder Next
- Mistral Large 3 2512 vs Mistral Medium 3
- Mistral Large 3 2512 vs Devstral 2 2512
- Mistral Large 3 2512 vs GLM 4.5V
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 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 Mistral Large
- Mistral Medium 3.1 vs Mixtral 8x22B Instruct
Our take
Mistral Large 3 2512 is 1.0x cheaper for a typical chat. Mistral Large 3 2512 scores higher on the Artificial Analysis Intelligence Index (9.3 vs 9.2). Mistral Large 3 2512 has the larger context window (262K vs 131K 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 3 2512 or Mistral Medium 3.1 cheaper?
Mistral Large 3 2512 is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Large 3 2512 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens, while Mistral Medium 3.1 costs $0.40 per 1M input tokens and $2 per 1M output tokens.
Which has a bigger context window, Mistral Large 3 2512 or Mistral Medium 3.1?
Mistral Large 3 2512 supports up to 262K tokens of context, compared with 131K for Mistral Medium 3.1.
Is Mistral Large 3 2512 smarter than Mistral Medium 3.1?
On the Artificial Analysis Intelligence Index, Mistral Large 3 2512 scores 9.3 and Mistral Medium 3.1 scores 9.2, putting Mistral Large 3 2512 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Large 3 2512 and Mistral Medium 3.1 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Large 3 2512 and Mistral Medium 3.1 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Large 3 2512 and Mistral Medium 3.1 at the same time. Compare the answers side by side and keep the best one.