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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.

Core performance indexes
51.0
#15
29.9
#142
48.6
#18
29.2
#143
39.1
#15
14.8
#151
38.6
#9
12.4
#124
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash-1017
Nemotron 3.5 Bolt (74B A9B 24GB)
31.8#67
23.6#135
30.9#7
5.6#168
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

1 shared

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.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

689.2B diff

DeepSeek-V4.1-Flash-1017 has 689.2B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 931.4% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

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).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

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

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

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.

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Nemotron 3.5 Bolt (74B A9B 24GB)

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).

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

2d newer
Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 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.

DeepSeek-V4.1-Flash-1017

—

Nemotron 3.5 Bolt (74B A9B 24GB)

May 2026

Outputs Comparison

Notice missing or incorrect data?

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.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, DeepSeek-V4.1-Flash-1017 or Nemotron 3.5 Bolt (74B A9B 24GB)?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 29.9. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Nemotron 3.5 Bolt (74B A9B 24GB) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Nemotron 3.5 Bolt (74B A9B 24GB) scores PinchBench: 87.8%, GPQA: 86.4%, BrowseComp: 66.8%, AA-LCR: 64.1%, MCP Atlas: 52.2%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Bolt (74B A9B 24GB)?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Nemotron 3.5 Bolt (74B A9B 24GB) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (51.0 vs 29.9), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Nemotron 3.5 Bolt (74B A9B 24GB)?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.