AI model comparison
MiniMax M3.1 Flash vs DeepSeek V3.2
Side by side comparison of MiniMax M3.1 Flash and DeepSeek V3.2 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
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.
- Input / 1M
- $0.28
- Output / 1M
- $0.42
- Context
- 164K
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
1.3x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
MiniMax M3.1 Flash
1.05M vs 164K tokens
Newer release
MiniMax M3.1 Flash
Released October 19, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
MiniMax M3.1 Flash vs DeepSeek V3.2 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.28 |
| Output tokensPer 1M tokens | $0.60 | $0.42 |
| Cached input (read)Per 1M tokens | $0.02 | $0.03 |
| 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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 164K tokens |
| Max output | 524K tokens | 66K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low | Not available |
| Default reasoning effort | Max | Not available |
| Release date | October 19, 2026 | December 1, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| 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 |
Our take
MiniMax M3.1 Flash is 1.3x cheaper for a typical chat. MiniMax M3.1 Flash has the larger context window (1.05M vs 164K 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 MiniMax M3.1 Flash or DeepSeek V3.2 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 DeepSeek V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens.
Which has a bigger context window, MiniMax M3.1 Flash or DeepSeek V3.2?
MiniMax M3.1 Flash supports up to 1.05M tokens of context, compared with 164K for DeepSeek V3.2.
Can I use MiniMax M3.1 Flash and DeepSeek V3.2 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiniMax M3.1 Flash and DeepSeek V3.2 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiniMax M3.1 Flash and DeepSeek V3.2 at the same time. Compare the answers side by side and keep the best one.