Nemotron 3.5 Lightning (30B A3B) vs Qwen3.6-35B-A3B
Qwen3.6-35B-A3B leads the LLM Stats Score 32.3 to 21.9. Nemotron 3.5 Lightning (30B A3B) is 2.8x cheaper per token.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.6-35B-A3B leads the overall LLM Stats Score 32.3 to 21.9, ranking #119 overall.
In the 5 individual benchmarks reported for both models, Qwen3.6-35B-A3B wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Nemotron 3.5 Lightning (30B A3B) is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Nemotron 3.5 Lightning (30B A3B)
- cost matters — it's about 2.8x cheaper per token
- you want the most recent training data — it shipped Aug 2026
Choose Qwen3.6-35B-A3B
- overall performance matters — it scores 32.3 and ranks #119 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Nemotron 3.5 Lightning (30B A3B) · 49 for Qwen3.6-35B-A3B
Nemotron 3.5 Lightning (30B A3B) outperforms in 0 benchmarks, while Qwen3.6-35B-A3B is better at 5 benchmarks (GPQA, Humanity's Last Exam, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Verified).
Qwen3.6-35B-A3B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Nemotron 3.5 Lightning (30B A3B) ($0.08/1M tokens) is 1.3x cheaper than Qwen3.6-35B-A3B ($0.10/1M tokens).
For output processing, Nemotron 3.5 Lightning (30B A3B) ($0.20/1M tokens) is 4.7x cheaper than Qwen3.6-35B-A3B ($0.95/1M tokens).
In conclusion, Qwen3.6-35B-A3B is more expensive than Nemotron 3.5 Lightning (30B A3B).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3.6-35B-A3B has 5.0B more parameters than Nemotron 3.5 Lightning (30B A3B), making it 16.7% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 262,144 tokens. Both models can generate responses up to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.6-35B-A3B supports multimodal inputs, whereas Nemotron 3.5 Lightning (30B A3B) does not.
Qwen3.6-35B-A3B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron 3.5 Lightning (30B A3B)
Qwen3.6-35B-A3B
License
Usage and distribution terms
Nemotron 3.5 Lightning (30B A3B) is licensed under OpenMDW License v1.1, while Qwen3.6-35B-A3B 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 Lightning (30B A3B) was released on 2026-08-11, while Qwen3.6-35B-A3B was released on 2026-04-16.
Nemotron 3.5 Lightning (30B A3B) is 4 months newer than Qwen3.6-35B-A3B.
Aug 11, 2026
2 months ago
3mo newerApr 16, 2026
5 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Nemotron 3.5 Lightning (30B A3B) is available from DeepInfra. Qwen3.6-35B-A3B is available from DeepInfra.
Nemotron 3.5 Lightning (30B A3B)
Qwen3.6-35B-A3B
Outputs Comparison
Judge for yourself.
Run your own prompts against Nemotron 3.5 Lightning (30B A3B) and Qwen3.6-35B-A3B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron 3.5 Lightning (30B A3B) vs Qwen3.6-35B-A3B.
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