AI model comparison
DeepSeek V4.1 Flash vs Mistral Nemo
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 1.05M
Mistral
Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.
- Input / 1M
- $0.03
- Output / 1M
- $0.03
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Nemo
8.2x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
DeepSeek V4.1 Flash
1.05M vs 131K tokens
Newer release
DeepSeek V4.1 Flash
Released September 10, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4.1 Flash39.5Mistral NemoNot availableCoding index
DeepSeek V4.1 FlashNot availableMistral NemoNot availableAgentic index
DeepSeek V4.1 FlashNot availableMistral NemoNot availablePricing
DeepSeek V4.1 Flash vs Mistral Nemo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.03 |
| Output tokensPer 1M tokens | $0.60 | $0.03 |
| Cached input (read)Per 1M tokens | $0.00 | Not available |
| 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$0.60Mistral Nemo$0.07Coding task
30K in, 4K out
DeepSeek V4.1 Flash$6.90$2.49 cachedMistral Nemo$0.99Long document summary
150K in, 2K out
DeepSeek V4.1 Flash$23.70$1.65 cachedMistral Nemo$4.41Specs
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 | Mistral Nemo |
|---|---|---|
| Context window | 1.05M tokens | 131K tokens |
| Max output | 393K tokens | 16K tokens |
| Input types | Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | Not available |
| Default reasoning effort | High | Not available |
| Release date | September 10, 2026 | July 19, 2024 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not 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.
DeepSeek V4.1 FlashView full model details- DeepSeek V4.1 Flash vs GLM 5.3 Flash
- DeepSeek V4.1 Flash vs MiMo-V2.6-Flash
- DeepSeek V4.1 Flash vs Step 5 Preview
- DeepSeek V4.1 Flash vs Hy4 preview
- DeepSeek V4.1 Flash vs GPT-6 Luna
- DeepSeek V4.1 Flash vs Claude Opus 5.5
- DeepSeek V4.1 Flash vs DeepSeek V4 Flash 0731
- DeepSeek V4.1 Flash vs GLM 5.3
- DeepSeek V4.1 Flash vs DeepSeek V4 Flash 0423
- DeepSeek V4.1 Flash vs Hy3
- DeepSeek V4.1 Flash vs Claude Sonnet 5.5
- DeepSeek V4.1 Flash vs Muse Spark 1.3 Contributor
- DeepSeek V4.1 Flash vs GPT-6.1 Sol
- DeepSeek V4.1 Flash vs Gemini 3.8 Flash
- DeepSeek V4.1 Flash vs GPT-5.6 Luna
- DeepSeek V4.1 Flash vs MiMo-V2.6-Pro
- DeepSeek V4.1 Flash vs DeepSeek V4 Pro 0813
- DeepSeek V4.1 Flash vs Claude Haiku 5.5
- DeepSeek V4.1 Flash vs Claude Fable 5.1
- DeepSeek V4.1 Flash vs Solar Pro 4
- DeepSeek V4.1 Flash vs GPT-6 Astra
- DeepSeek V4.1 Flash vs Claude Opus 5
- DeepSeek V4.1 Flash vs Claude Sonnet 5
- DeepSeek V4.1 Flash vs DeepSeek V4 Pro 0423
- DeepSeek V4.1 Flash vs Ling 3.1 Flash
- DeepSeek V4.1 Flash vs Qwen3.8 Flash
- DeepSeek V4.1 Flash vs Qwen3.8 27B
- DeepSeek V4.1 Flash vs Gemini 3.7 Flash
- DeepSeek V4.1 Flash vs Qwen3.7 Flash
- DeepSeek V4.1 Flash vs Qwen3.8 2.4T A95B
- DeepSeek V4.1 Flash vs GPT-6 Luna Pro
- DeepSeek V4.1 Flash vs Muse Spark 1.2
- DeepSeek V4.1 Flash vs GPT-5.4
- DeepSeek V4.1 Flash vs Grok 4.5
- DeepSeek V4.1 Flash vs GLM 5.3 FlashX
- DeepSeek V4.1 Flash vs DeepSeek V4 Flash Vision Exp
- DeepSeek V4.1 Flash vs Gemini 3.6 Flash
- DeepSeek V4.1 Flash vs Muse Spark 1.1
- DeepSeek V4.1 Flash vs GPT-5.6 Luna Pro
Mistral NemoView full model details- Mistral Nemo vs MiMo-V2.6-Flash
- Mistral Nemo vs Muse Spark 1.3 Contributor
- Mistral Nemo vs gpt-oss-20b
- Mistral Nemo vs Ling 3.0 Flash
- Mistral Nemo vs Ling 3.0 Flash VL
- Mistral Nemo vs Llama 3.1 8B Instruct
- Mistral Nemo vs Mistral Small 3
- Mistral Nemo vs Ministral 3 8B 2512
- Mistral Nemo vs Ministral 3 3B 2512
Our take
Mistral Nemo is 8.2x cheaper for a typical chat. DeepSeek V4.1 Flash has the larger context window (1.05M vs 131K 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 or Mistral Nemo cheaper?
Mistral Nemo is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Nemo costs $0.03 per 1M input tokens and $0.03 per 1M output tokens, while DeepSeek V4.1 Flash costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, DeepSeek V4.1 Flash or Mistral Nemo?
DeepSeek V4.1 Flash supports up to 1.05M tokens of context, compared with 131K for Mistral Nemo.
Can I use DeepSeek V4.1 Flash and Mistral Nemo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4.1 Flash and Mistral Nemo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4.1 Flash and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.