AI model comparison
DeepSeek V4.1 Flash 1017 vs MiMo-V2.6-Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 1.05M
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi.
- Input / 1M
- $0.14
- Output / 1M
- $0.28
- 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-Flash
1.4x cheaper for a typical chat
Higher intelligence score
DeepSeek V4.1 Flash 1017
39.5 vs 37.9 on Artificial Analysis
Larger context window
MiMo-V2.6-Flash
1.05M vs 1.05M tokens
Newer release
DeepSeek V4.1 Flash 1017
Released October 17, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4.1 Flash 101739.5Coding index
DeepSeek V4.1 Flash 1017Not availableAgentic index
DeepSeek V4.1 Flash 1017Not availablePricing
DeepSeek V4.1 Flash 1017 vs MiMo-V2.6-Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4.1 Flash 1017 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.14 |
| Output tokensPer 1M tokens | $0.60 | $0.28 |
| Cached input (read)Per 1M tokens | $0.00 | $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
DeepSeek V4.1 Flash 1017$0.60Coding task
30K in, 4K out
DeepSeek V4.1 Flash 1017$6.90$2.49 cachedLong document summary
150K in, 2K out
DeepSeek V4.1 Flash 1017$23.70$1.65 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V4.1 Flash 1017 | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 393K tokens | 131K tokens |
| Input types | Image, Text | Audio, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | October 17, 2026 | September 21, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4.1 Flash 1017 | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Not 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.
DeepSeek V4.1 Flash 1017View full model details- DeepSeek V4.1 Flash 1017 vs Step 5 Preview
- DeepSeek V4.1 Flash 1017 vs Claude Haiku 5.5
- DeepSeek V4.1 Flash 1017 vs GLM 5.3 Flash
- DeepSeek V4.1 Flash 1017 vs Ling 3.1 Flash
- DeepSeek V4.1 Flash 1017 vs GPT-6 Luna
- DeepSeek V4.1 Flash 1017 vs GPT-5.6 Luna
- DeepSeek V4.1 Flash 1017 vs DeepSeek V4 Pro 0813
- DeepSeek V4.1 Flash 1017 vs DeepSeek V4 Flash Vision Exp
- DeepSeek V4.1 Flash 1017 vs DeepSeek V4 Flash 0731
- MiMo-V2.6-Flash vs DeepSeek V4.1 Flash
- MiMo-V2.6-Flash vs Step 5 Preview
- MiMo-V2.6-Flash vs GLM 5.3 Flash
- MiMo-V2.6-Flash vs Hy4 preview
- MiMo-V2.6-Flash vs GPT-6 Luna
- MiMo-V2.6-Flash vs Claude Opus 5.5
- MiMo-V2.6-Flash vs GLM 5.3
- MiMo-V2.6-Flash vs DeepSeek V4 Flash 0731
- MiMo-V2.6-Flash vs Hy3
- MiMo-V2.6-Flash vs Muse Spark 1.3 Contributor
- MiMo-V2.6-Flash vs DeepSeek V4 Flash 0423
- MiMo-V2.6-Flash vs Claude Sonnet 5.5
- MiMo-V2.6-Flash vs GPT-6.1 Sol
- MiMo-V2.6-Flash vs Claude Haiku 5.5
- MiMo-V2.6-Flash vs GPT-5.6 Luna
- MiMo-V2.6-Flash vs MiMo-V2.6-Pro
- MiMo-V2.6-Flash vs DeepSeek V4 Pro 0813
- MiMo-V2.6-Flash vs Solar Pro 4
- MiMo-V2.6-Flash vs DeepSeek V4 Pro 0423
- MiMo-V2.6-Flash vs Claude Fable 5.1
- MiMo-V2.6-Flash vs GPT-6 Astra
- MiMo-V2.6-Flash vs Gemini 4 Argon
- MiMo-V2.6-Flash vs Qwen3.8 Flash
- MiMo-V2.6-Flash vs Ling 3.1 Flash
- MiMo-V2.6-Flash vs Qwen3.7 Flash
- MiMo-V2.6-Flash vs GPT-6 Luna Pro
- MiMo-V2.6-Flash vs Mistral Nemo
- MiMo-V2.6-Flash vs Mistral Large 4
- MiMo-V2.6-Flash vs DeepSeek V4 Flash Vision Exp
Our take
MiMo-V2.6-Flash is 1.4x cheaper for a typical chat. DeepSeek V4.1 Flash 1017 scores higher on the Artificial Analysis Intelligence Index (39.5 vs 37.9). MiMo-V2.6-Flash 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 DeepSeek V4.1 Flash 1017 or MiMo-V2.6-Flash 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 V4.1 Flash 1017 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, DeepSeek V4.1 Flash 1017 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4.1 Flash 1017.
Is DeepSeek V4.1 Flash 1017 smarter than MiMo-V2.6-Flash?
On the Artificial Analysis Intelligence Index, DeepSeek V4.1 Flash 1017 scores 39.5 and MiMo-V2.6-Flash scores 37.9, putting DeepSeek V4.1 Flash 1017 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use DeepSeek V4.1 Flash 1017 and MiMo-V2.6-Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4.1 Flash 1017 and MiMo-V2.6-Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4.1 Flash 1017 and MiMo-V2.6-Flash at the same time. Compare the answers side by side and keep the best one.