DeepSeek-V4.1-Flash-1017 vs Nemotron 3.5 Bolt (74B A9B 24GB)
DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 29.9.
DeepSeek · NVIDIA · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 29.9, ranking #15 overall.
In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4.1-Flash-1017
- overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Oct 2026
Choose Nemotron 3.5 Bolt (74B A9B 24GB)
- you are already invested in the NVIDIA ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for DeepSeek-V4.1-Flash-1017 · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)
DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (Humanity's Last Exam), while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 0 benchmarks.
DeepSeek-V4.1-Flash-1017 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V4.1-Flash-1017 has 689.2B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 931.4% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Bolt (74B A9B 24GB) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash-1017
Nemotron 3.5 Bolt (74B A9B 24GB)
License
Usage and distribution terms
DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Nemotron 3.5 Bolt (74B A9B 24GB) uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.
DeepSeek-V4.1-Flash-1017 is 0 month newer than Nemotron 3.5 Bolt (74B A9B 24GB).
Oct 17, 2026
2 days ago
2d newerOct 15, 2026
4 days ago
Knowledge Cutoff
When training data ends
Nemotron 3.5 Bolt (74B A9B 24GB) has a documented knowledge cutoff of 2026-05-01, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.
We can confirm Nemotron 3.5 Bolt (74B A9B 24GB)'s training data extends to 2026-05-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.
—
May 2026
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash-1017 vs Nemotron 3.5 Bolt (74B A9B 24GB).
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