AI model comparison
MiniMax M3.1 Flash vs Mistral Large 4
Side by side comparison of MiniMax M3.1 Flash and Mistral Large 4 on pricing, benchmark scores, context window, and more.
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 1.05M
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
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
MiniMax M3.1 Flash
8.0x cheaper for a typical chat
Higher intelligence score
MiniMax M3.1 Flash
28.9 vs 25.3 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
MiniMax M3.1 Flash
Released October 19, 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
MiniMax M3.1 Flash vs Mistral Large 4 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Large 4 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $1.36 |
| Output tokensPer 1M tokens | $0.60 | $4.18 |
| Cached input (read)Per 1M tokens | $0.02 | $0.14 |
| 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 | 524K tokens | 262K tokens |
| Input types | Image, Text, Video | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low | High, None |
| Default reasoning effort | Max | High |
| Release date | October 19, 2026 | October 6, 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.
- MiniMax M3.1 Flash vs DeepSeek V4.1 Flash 1017
- MiniMax M3.1 Flash vs DeepSeek V4.1 Flash
- MiniMax M3.1 Flash vs GLM 5.3 Flash
- MiniMax M3.1 Flash vs GPT-6 Luna
- MiniMax M3.1 Flash vs GLM 5.3
- MiniMax M3.1 Flash vs Step 5 Preview
- MiniMax M3.1 Flash vs MiMo-V2.6-Flash
- MiniMax M3.1 Flash vs Claude Haiku 5.5
- MiniMax M3.1 Flash vs Hy3
- MiniMax M3.1 Flash vs Gemini 3.8 Flash
- MiniMax M3.1 Flash vs MiMo-V2.6-Pro
- MiniMax M3.1 Flash vs Solar Pro 4
- MiniMax M3.1 Flash vs DeepSeek V4 Pro 0813
- MiniMax M3.1 Flash vs Qwen3.8 27B
- MiniMax M3.1 Flash vs MiniMax M3
- MiniMax M3.1 Flash vs Qwen3.8 Flash
- MiniMax M3.1 Flash vs GPT-6 Luna Pro
- MiniMax M3.1 Flash vs gpt-oss-120b
- MiniMax M3.1 Flash vs DeepSeek V3.2
- MiniMax M3.1 Flash vs GPT-4o-mini
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 MiMo-V2.6-Pro
- 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
Our take
MiniMax M3.1 Flash is 8.0x cheaper for a typical chat. MiniMax M3.1 Flash scores higher on the Artificial Analysis Intelligence Index (28.9 vs 25.3). 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 MiniMax M3.1 Flash or Mistral Large 4 cheaper?
MiniMax M3.1 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). MiniMax M3.1 Flash costs $0.15 per 1M input tokens and $0.60 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, MiniMax M3.1 Flash or Mistral Large 4?
MiniMax M3.1 Flash supports up to 1.05M tokens of context, compared with 1.05M for Mistral Large 4.
Is MiniMax M3.1 Flash smarter than Mistral Large 4?
On the Artificial Analysis Intelligence Index, MiniMax M3.1 Flash scores 28.9 and Mistral Large 4 scores 25.3, putting MiniMax M3.1 Flash ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use MiniMax M3.1 Flash and Mistral Large 4 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiniMax M3.1 Flash and Mistral Large 4 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiniMax M3.1 Flash and Mistral Large 4 at the same time. Compare the answers side by side and keep the best one.