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DeepSeek-V4-Pro-Max vs Nemotron 3.5 Bolt (74B A9B 24GB)

DeepSeek-V4-Pro-Max leads the LLM Stats Score 42.9 to 29.9.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek-V4-Pro-Max leads the overall LLM Stats Score 42.9 to 29.9, ranking #57 overall.

In the 4 individual benchmarks reported for both models, DeepSeek-V4-Pro-Max wins 4; 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-Pro-Max

  • overall performance matters — it scores 42.9 and ranks #57 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

Choose Nemotron 3.5 Bolt (74B A9B 24GB)

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V4-Pro-Max
DeepSeek
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
42.9
#57
29.9
#142
Reasoning
43.1
#53
29.2
#143
Coding
31.2
#56
14.8
#151
Agents
23.6
#73
12.4
#124
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$1.30 / M
— / M
Output price
$2.60 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4-Pro-Max
Nemotron 3.5 Bolt (74B A9B 24GB)
Math
40.2#14
23.6#135
Tool use
22.1#58
5.6#168
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for DeepSeek-V4-Pro-Max · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

4 shared

DeepSeek-V4-Pro-Max outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, MCP Atlas), while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 0 benchmarks.

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1526.0B diff

DeepSeek-V4-Pro-Max has 1526.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 2062.2% larger.

DeepSeek
DeepSeek-V4-Pro-Max
1.6Tparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
1600.0B
DeepSeek-V4-Pro-Max
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-Max specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-Max specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Pro-Max
Input1,048,576 tokens
Output1,048,576 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Bolt (74B A9B 24GB) supports multimodal inputs, whereas DeepSeek-V4-Pro-Max does not.

Nemotron 3.5 Bolt (74B A9B 24GB) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-Max

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-Max 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-Pro-Max

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-Pro-Max was released on 2026-04-23, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 6 months newer than DeepSeek-V4-Pro-Max.

DeepSeek-V4-Pro-Max

Apr 23, 2026

5 months ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

4 days ago

5mo newer

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-Pro-Max'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-Pro-Max's cutoff date.

DeepSeek-V4-Pro-Max

—

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-Pro-Max and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-Max
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-Max vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, DeepSeek-V4-Pro-Max or Nemotron 3.5 Bolt (74B A9B 24GB)?

DeepSeek-V4-Pro-Max leads the LLM Stats Score 42.9 to 29.9. DeepSeek-V4-Pro-Max 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-Pro-Max compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

DeepSeek-V4-Pro-Max scores CodeForces: 100.0%, HMMT Feb 26: 95.2%, LiveCodeBench: 93.5%, MathArena Apex: 90.2%, GPQA: 90.1%. 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-Pro-Max and Nemotron 3.5 Bolt (74B A9B 24GB)?

DeepSeek-V4-Pro-Max 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-Pro-Max and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (42.9 vs 29.9), multimodal support (no vs yes), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-Max and Nemotron 3.5 Bolt (74B A9B 24GB)?

DeepSeek-V4-Pro-Max is developed by DeepSeek and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

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