AI model comparison
Mistral Large 4 vs MiMo-V2.6-Pro
Side by side comparison of Mistral Large 4 and MiMo-V2.6-Pro on pricing, benchmark scores, context window, and more.
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
- Input / 1M
- $1.36
- Output / 1M
- $4.18
- Context
- 1.05M
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi.
- Input / 1M
- $0.44
- Output / 1M
- $0.87
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
MiMo-V2.6-Pro
3.7x cheaper for a typical chat
Higher intelligence score
MiMo-V2.6-Pro
29.9 vs 25.3 on Artificial Analysis
Larger context window
MiMo-V2.6-Pro
1.05M vs 1.05M tokens
Newer release
Mistral Large 4
Released October 6, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Large 425.3Coding index
Mistral Large 4Not availableAgentic index
Mistral Large 4Not availablePricing
Mistral Large 4 vs MiMo-V2.6-Pro API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Large 4 | |
|---|---|---|
| Input tokensPer 1M tokens | $1.36 | $0.44 |
| Output tokensPer 1M tokens | $4.18 | $0.87 |
| Cached input (read)Per 1M tokens | $0.14 | $0.00 |
| 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 4$4.81Coding task
30K in, 4K out
Mistral Large 4$57.52$20.92 cachedLong document summary
150K in, 2K out
Mistral Large 4$212.36$29.36 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 4 | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 262K tokens | 131K tokens |
| Input types | Image, Text | Audio, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | High, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | October 6, 2026 | September 21, 2026 |
Features
Supported features
API features available for each model.
| Metric | Mistral Large 4 | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | 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 4View full model details- Mistral Large 4 vs Muse Spark 1.3
- Mistral Large 4 vs Grok 4.7
- Mistral Large 4 vs Qwen3.8 Max (0902)
- Mistral Large 4 vs GLM 5.3
- Mistral Large 4 vs Gemini 3.8 Flash
- Mistral Large 4 vs MiniMax M3.1 Flash
- Mistral Large 4 vs Step 5 Preview
- Mistral Large 4 vs Solar Pro 4
- Mistral Large 4 vs GPT-6 Luna
- Mistral Large 4 vs MiMo-V2.6-Flash
- Mistral Large 4 vs DeepSeek V4 Pro 0813
- Mistral Large 4 vs Qwen3.8 27B
- MiMo-V2.6-Pro vs DeepSeek V4.1 Flash 1017
- MiMo-V2.6-Pro vs Muse Spark 1.3
- MiMo-V2.6-Pro vs Claude Haiku 5.5
- MiMo-V2.6-Pro vs Grok 4.7
- MiMo-V2.6-Pro vs Qwen3.8 Max (0902)
- MiMo-V2.6-Pro vs GPT-6 Luna
- MiMo-V2.6-Pro vs GLM 5.3
- MiMo-V2.6-Pro vs Gemini 3.8 Flash
- MiMo-V2.6-Pro vs Step 5 Preview
- MiMo-V2.6-Pro vs MiniMax M3.1 Flash
- MiMo-V2.6-Pro vs MiMo-V2.6-Flash
- MiMo-V2.6-Pro vs Solar Pro 4
- MiMo-V2.6-Pro vs DeepSeek V4 Pro 0813
- MiMo-V2.6-Pro vs Qwen3.8 27B
- MiMo-V2.6-Pro vs Step 3.7 Flash
- MiMo-V2.6-Pro vs Qwen3.6 35B A3B
- MiMo-V2.6-Pro vs MiMo-V2.5
- MiMo-V2.6-Pro vs MiMo-V2.5-Pro
Our take
MiMo-V2.6-Pro is 3.7x cheaper for a typical chat. MiMo-V2.6-Pro scores higher on the Artificial Analysis Intelligence Index (29.9 vs 25.3). MiMo-V2.6-Pro has the larger context window (1.05M vs 1.05M 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 4 or MiMo-V2.6-Pro cheaper?
MiMo-V2.6-Pro is cheaper for a typical chat (2K input tokens and 500 output tokens). MiMo-V2.6-Pro costs $0.44 per 1M input tokens and $0.87 per 1M output tokens, while Mistral Large 4 costs $1.36 per 1M input tokens and $4.18 per 1M output tokens.
Which has a bigger context window, Mistral Large 4 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro supports up to 1.05M tokens of context, compared with 1.05M for Mistral Large 4.
Is Mistral Large 4 smarter than MiMo-V2.6-Pro?
On the Artificial Analysis Intelligence Index, Mistral Large 4 scores 25.3 and MiMo-V2.6-Pro scores 29.9, putting MiMo-V2.6-Pro ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Large 4 and MiMo-V2.6-Pro at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Large 4 and MiMo-V2.6-Pro answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Large 4 and MiMo-V2.6-Pro at the same time. Compare the answers side by side and keep the best one.