AI model comparison
MiMo-V2.6-Flash vs DeepSeek V3.2
Side by side comparison of MiMo-V2.6-Flash and DeepSeek V3.2 on pricing, benchmark scores, context window, and more.
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi.
- Input / 1M
- $0.14
- Output / 1M
- $0.28
- 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
MiMo-V2.6-Flash
1.8x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
MiMo-V2.6-Flash
1.05M vs 164K tokens
Newer release
MiMo-V2.6-Flash
Released September 21, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V3.2Not availableCoding index
DeepSeek V3.244.2Agentic index
DeepSeek V3.2Not availablePricing
MiMo-V2.6-Flash vs DeepSeek V3.2 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V3.2 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.14 | $0.28 |
| Output tokensPer 1M tokens | $0.28 | $0.42 |
| Cached input (read)Per 1M tokens | $0.00 | $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
DeepSeek V3.2$0.77Coding task
30K in, 4K out
DeepSeek V3.2$10.08$2.52 cachedLong document summary
150K in, 2K out
DeepSeek V3.2$42.84$5.04 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V3.2 | |
|---|---|---|
| Context window | 1.05M tokens | 164K tokens |
| Max output | 131K tokens | 66K tokens |
| Input types | Audio, Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | September 21, 2026 | December 1, 2025 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V3.2 | |
|---|---|---|
| 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.
- MiMo-V2.6-Flash vs DeepSeek V4.1 Flash 1017
- MiMo-V2.6-Flash vs DeepSeek V4.1 Flash
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- MiMo-V2.6-Flash vs Gemini 2.5 Flash Lite
- MiMo-V2.6-Flash vs Mistral Nemo
- MiMo-V2.6-Flash vs gpt-oss-20b
- MiMo-V2.6-Flash vs Ling 3.1 Flash
DeepSeek V3.2View full model details- DeepSeek V3.2 vs DeepSeek V4.1 Flash 1017
- DeepSeek V3.2 vs DeepSeek V4.1 Flash
- DeepSeek V3.2 vs GLM 5.3 Flash
- DeepSeek V3.2 vs GPT-6 Luna
- DeepSeek V3.2 vs DeepSeek V4 Flash 0731
- DeepSeek V3.2 vs Hy3
- DeepSeek V3.2 vs Claude Haiku 5.5
- DeepSeek V3.2 vs DeepSeek V4 Flash 0423
- DeepSeek V3.2 vs MiniMax M3.1 Flash
Our take
MiMo-V2.6-Flash is 1.8x cheaper for a typical chat. MiMo-V2.6-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 MiMo-V2.6-Flash or DeepSeek V3.2 cheaper?
MiMo-V2.6-Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). MiMo-V2.6-Flash costs $0.14 per 1M input tokens and $0.28 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, MiMo-V2.6-Flash or DeepSeek V3.2?
MiMo-V2.6-Flash supports up to 1.05M tokens of context, compared with 164K for DeepSeek V3.2.
Can I use MiMo-V2.6-Flash and DeepSeek V3.2 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiMo-V2.6-Flash and DeepSeek V3.2 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiMo-V2.6-Flash and DeepSeek V3.2 at the same time. Compare the answers side by side and keep the best one.