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DeepSeek-R1-0528 vs Nemotron 3.5 Bolt (74B A9B 24GB)

Nemotron 3.5 Bolt (74B A9B 24GB) leads the LLM Stats Score 29.6 to 23.6.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Bolt (74B A9B 24GB) leads the overall LLM Stats Score 29.6 to 23.6, ranking #146 overall.

In the 3 individual benchmarks reported for both models, Nemotron 3.5 Bolt (74B A9B 24GB) wins 3; 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-R1-0528

  • you want predictable pricing at $0.50/M input and $2.15/M output

Choose Nemotron 3.5 Bolt (74B A9B 24GB)

  • overall performance matters — it scores 29.6 and ranks #146 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-R1-0528
DeepSeek
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
23.6
#192
29.6
#146
Reasoning
23.2
#188
28.9
#146
Coding
7.4
#206
14.4
#154
Agents
-12.2
#211
11.9
#127
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.50 / M
— / M
Output price
$2.15 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-R1-0528
Nemotron 3.5 Bolt (74B A9B 24GB)
Math
26.0#113
23.4#140
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for DeepSeek-R1-0528 · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

3 shared

DeepSeek-R1-0528 outperforms in 0 benchmarks, while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam).

Nemotron 3.5 Bolt (74B A9B 24GB) significantly outperforms across most benchmarks.

Wed Oct 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

597.0B diff

DeepSeek-R1-0528 has 597.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 806.8% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
671.0B
DeepSeek-R1-0528
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (163,840 tokens). Only DeepSeek-R1-0528 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-R1-0528
Input163,840 tokens
Output163,840 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Wed Oct 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Bolt (74B A9B 24GB) supports multimodal inputs, whereas DeepSeek-R1-0528 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-R1-0528

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 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-R1-0528

MIT

Open weights

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 17 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

1.4 years ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

1 weeks ago

1.4yr 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-R1-0528'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-R1-0528's cutoff date.

DeepSeek-R1-0528

—

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-R1-0528 and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

DeepSeek-R1-0528
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about DeepSeek-R1-0528 vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, DeepSeek-R1-0528 or Nemotron 3.5 Bolt (74B A9B 24GB)?

Nemotron 3.5 Bolt (74B A9B 24GB) leads the LLM Stats Score 29.6 to 23.6. DeepSeek-R1-0528 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-R1-0528 compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. 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-R1-0528 and Nemotron 3.5 Bolt (74B A9B 24GB)?

DeepSeek-R1-0528 supports 164K 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-R1-0528 and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (23.6 vs 29.6), 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-R1-0528 and Nemotron 3.5 Bolt (74B A9B 24GB)?

DeepSeek-R1-0528 is developed by DeepSeek and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

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