AI model comparison
DeepSeek V4.1 Flash 1017 vs Nemotron 3.5 Super VL
Side by side comparison of DeepSeek V4.1 Flash 1017 and Nemotron 3.5 Super VL on pricing, benchmark scores, context window, and more.
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
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total.
- Input / 1M
- $0.15
- Output / 1M
- $0.50
- 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
Nemotron 3.5 Super VL
1.1x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
Tie
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 1017Not availableCoding index
DeepSeek V4.1 Flash 1017Not availableAgentic index
DeepSeek V4.1 Flash 1017Not availablePricing
DeepSeek V4.1 Flash 1017 vs Nemotron 3.5 Super VL API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4.1 Flash 1017 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.15 |
| Output tokensPer 1M tokens | $0.60 | $0.50 |
| Cached input (read)Per 1M tokens | $0.00 | $0.02 |
| 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 | 236K tokens |
| Input types | Image, Text | 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 | October 15, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4.1 Flash 1017 | |
|---|---|---|
| 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.
DeepSeek V4.1 Flash 1017View full model details- DeepSeek V4.1 Flash 1017 vs DeepSeek V4.1 Flash
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- DeepSeek V4.1 Flash 1017 vs gpt-oss-120b
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- DeepSeek V4.1 Flash 1017 vs Gemma 4 26B A4B
- DeepSeek V4.1 Flash 1017 vs Gemini 2.5 Flash Lite
- DeepSeek V4.1 Flash 1017 vs Step 3.7 Flash
- DeepSeek V4.1 Flash 1017 vs Mistral Nemo
- DeepSeek V4.1 Flash 1017 vs DeepSeek V3.2
- DeepSeek V4.1 Flash 1017 vs Gemini 2.5 Flash
- DeepSeek V4.1 Flash 1017 vs GPT-4o-mini
- DeepSeek V4.1 Flash 1017 vs gpt-oss-20b
- DeepSeek V4.1 Flash 1017 vs Claude Haiku 4.5
- DeepSeek V4.1 Flash 1017 vs GLM 5.3 FlashX
- DeepSeek V4.1 Flash 1017 vs GPT-6.1 Terra
- DeepSeek V4.1 Flash 1017 vs Qwen3.6 35B A3B
- DeepSeek V4.1 Flash 1017 vs GPT-5.6 Luna Pro
- DeepSeek V4.1 Flash 1017 vs MiMo-V2.5
- DeepSeek V4.1 Flash 1017 vs Nemotron 3 Ultra
- DeepSeek V4.1 Flash 1017 vs MiMo-V2.5-Pro
- DeepSeek V4.1 Flash 1017 vs Ling 3.1 Flash
- DeepSeek V4.1 Flash 1017 vs Muse Glimmer 30B
- DeepSeek V4.1 Flash 1017 vs Inkling
- DeepSeek V4.1 Flash 1017 vs Inkling Small
- DeepSeek V4.1 Flash 1017 vs Command A+
- Nemotron 3.5 Super VL vs GPT-6 Luna
- Nemotron 3.5 Super VL vs Qwen3.8 27B
- Nemotron 3.5 Super VL vs MiniMax M3
- Nemotron 3.5 Super VL vs Inkling Small
- Nemotron 3.5 Super VL vs Inkling
- Nemotron 3.5 Super VL vs Nemotron 3 Ultra
- Nemotron 3.5 Super VL vs Gemini 3.5 Flash Lite
- Nemotron 3.5 Super VL vs Muse Glimmer 30B
- Nemotron 3.5 Super VL vs DeepSeek V4.1 Flash
- Nemotron 3.5 Super VL vs GLM 5.3 Flash
- Nemotron 3.5 Super VL vs Hy3
Our take
Nemotron 3.5 Super VL is 1.1x cheaper for a typical chat. 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 Nemotron 3.5 Super VL cheaper?
Nemotron 3.5 Super VL is cheaper for a typical chat (2K input tokens and 500 output tokens). Nemotron 3.5 Super VL costs $0.15 per 1M input tokens and $0.50 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 Nemotron 3.5 Super VL?
DeepSeek V4.1 Flash 1017 supports up to 1.05M tokens of context, compared with 1.05M for Nemotron 3.5 Super VL.
Can I use DeepSeek V4.1 Flash 1017 and Nemotron 3.5 Super VL 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 Nemotron 3.5 Super VL answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4.1 Flash 1017 and Nemotron 3.5 Super VL at the same time. Compare the answers side by side and keep the best one.