Nemotron 3.5 Bolt (74B A9B 24GB) vs Qwen3-235B-A22B-Thinking-2507
Nemotron 3.5 Bolt (74B A9B 24GB) and Qwen3-235B-A22B-Thinking-2507 are closely matched at 29.6 and 27.6 on the LLM Stats Score.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Nemotron 3.5 Bolt (74B A9B 24GB) and Qwen3-235B-A22B-Thinking-2507 are closely matched on the overall LLM Stats Score at 29.6 and 27.6.
In the 2 individual benchmarks reported for both models, Nemotron 3.5 Bolt (74B A9B 24GB) wins 2; 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 Nemotron 3.5 Bolt (74B A9B 24GB)
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3-235B-A22B-Thinking-2507
- you want predictable pricing at $0.30/M input and $3.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
10 reported for Nemotron 3.5 Bolt (74B A9B 24GB) · 25 for Qwen3-235B-A22B-Thinking-2507
Nemotron 3.5 Bolt (74B A9B 24GB) outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3-235B-A22B-Thinking-2507 is better at 0 benchmarks.
Nemotron 3.5 Bolt (74B A9B 24GB) significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3-235B-A22B-Thinking-2507 has 161.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 217.6% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Nemotron 3.5 Bolt (74B A9B 24GB) supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 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.
Nemotron 3.5 Bolt (74B A9B 24GB)
Qwen3-235B-A22B-Thinking-2507
License
Usage and distribution terms
Nemotron 3.5 Bolt (74B A9B 24GB) is licensed under OpenMDW License v1.1, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
OpenMDW License v1.1
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
Nemotron 3.5 Bolt (74B A9B 24GB) is 15 months newer than Qwen3-235B-A22B-Thinking-2507.
Oct 15, 2026
1 weeks ago
1.2yr newerJul 25, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Nemotron 3.5 Bolt (74B A9B 24GB) has a documented knowledge cutoff of 2026-05-01, while Qwen3-235B-A22B-Thinking-2507'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 Qwen3-235B-A22B-Thinking-2507's cutoff date.
May 2026
—
Outputs Comparison
Judge for yourself.
Run your own prompts against Nemotron 3.5 Bolt (74B A9B 24GB) and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron 3.5 Bolt (74B A9B 24GB) vs Qwen3-235B-A22B-Thinking-2507.
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