DeepSeek-V4-Flash-0423 vs Nemotron 3.5 Bolt (74B A9B 24GB)
DeepSeek-V4-Flash-0423 leads the LLM Stats Score 35.9 to 29.6.
DeepSeek · NVIDIA · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0423 leads the overall LLM Stats Score 35.9 to 29.6, ranking #99 overall.
In the 4 individual benchmarks reported for both models, DeepSeek-V4-Flash-0423 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-V4-Flash-0423
- overall performance matters — it scores 35.9 and ranks #99 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for DeepSeek-V4-Flash-0423 · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)
DeepSeek-V4-Flash-0423 outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, MCP Atlas), while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 1 benchmark (BrowseComp).
DeepSeek-V4-Flash-0423 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0423 has 210.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 283.8% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Flash-0423 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0423 specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Nemotron 3.5 Bolt (74B A9B 24GB) supports multimodal inputs, whereas DeepSeek-V4-Flash-0423 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-Flash-0423
Nemotron 3.5 Bolt (74B A9B 24GB)
License
Usage and distribution terms
DeepSeek-V4-Flash-0423 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-Flash-0423 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-Flash-0423.
Apr 23, 2026
6 months ago
Oct 15, 2026
5 days ago
5mo newerKnowledge Cutoff
When training data ends
Nemotron 3.5 Bolt (74B A9B 24GB) has a documented knowledge cutoff of 2026-05-01, while DeepSeek-V4-Flash-0423'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-Flash-0423's cutoff date.
—
May 2026
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0423 and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0423 vs Nemotron 3.5 Bolt (74B A9B 24GB).
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