Model comparison · Updated 2 Nov 2026
Nemotron 3 Super vs Qwen3.5-Flash
Qwen3.5-Flash is about 1.3× cheaper on input ($0.07 against $0.09 per 1M tokens) and on output. Nemotron 3 Super has the larger context window (1.05M against 1M tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $74.25 a month for Nemotron 3 Super and $52.65 for Qwen3.5-Flash.
Cite
Cite this page
ModelsAtlas. “Nemotron 3 Super vs Qwen3.5-Flash”. Retrieved 2 Nov 2026. https://modelsatlas.com/compare/nvidia/nemotron-3-super-120b-a12b/vs/qwen/3-5
Model A
by NVIDIA · weights not marked open · GRIDB5
$0.09
- Source
- Our catalogue
- Retrieved
- 2 Nov 2026
Model B
by Qwen (Alibaba) · weights not marked open · GRIDB5
$0.07
- Source
- Our catalogue
- Retrieved
- 1 Sep 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
Nemotron 3 Super Qwen3.5-Flash · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.
On the atlas
Price band (A–H) × context band (1–6)
Same square. Nemotron 3 Super and Qwen3.5-Flash share B5.
Same square as Nemotron 3 Super: Qwen3.7 Flash ($0.03), DeepSeek V4.1 Flash 1017 ($0.05), Nemotron 3.5 Lightning (free) ($0.07). Open B5
View the map as a table (2 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDB4 | <$0.10 | 256K–1M | Qwen3 235B A22B Instruct 2507, Nemotron 3 Nano 30B A3B |
| GRIDB5 | <$0.10 | 1M | Nemotron 3 Super, Qwen3.5-Flash, DeepSeek V4 Flash 0731, Nemotron 3.5 Lightning (free), DeepSeek V4.1 Flash 1017, Qwen3.7 Flash |
Capabilities side by side
Only what our records list
Neither record lists input types, so we do not claim any.
Which should you choose?
EditorialChoose Nemotron 3 Super if…
- your prompts are long: it takes 1,048,576 tokens against 1,000,000
Choose Qwen3.5-Flash if…
- you pay by the token: it costs $0.07 per 1M input against $0.09
- output dominates your bill: $0.26 per 1M output against $0.40
Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.
Questions
Is Nemotron 3 Super better than Qwen3.5-Flash?
Which is cheaper, Nemotron 3 Super or Qwen3.5-Flash?
How much does each cost per 1M tokens?
Which has the larger context window?
Do both offer batch pricing?
Can both read images or audio?
Is either model open-weight?
What would each cost for a support chatbot?
About the two models
Nemotron 3 Super
By NVIDIA. $0.09 input and $0.40 output per 1M tokens, 1.05M context, atlas square B5. Tiers listed: standard.
Full specs & pricing →Qwen3.5-Flash
By Qwen (Alibaba). $0.07 input and $0.26 output per 1M tokens, 1M context, atlas square B5. Tiers listed: standard.
Full specs & pricing →Compare Nemotron 3 Super with…
Compare Qwen3.5-Flash with…
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is Nemotron 3 Super better than Qwen3.5-Flash?
- Which is cheaper, Nemotron 3 Super or Qwen3.5-Flash?
- How much does each cost per 1M tokens?