Model comparison · Updated 10 Oct 2026
Nemotron 3 Nano 30B A3B vs Qwen3.5-Flash
Nemotron 3 Nano 30B A3B is about 1.1× cheaper on input ($0.06 against $0.07 per 1M tokens) and on output. Qwen3.5-Flash has the larger context window (1M against 262K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $48.60 a month for Nemotron 3 Nano 30B A3B and $52.65 for Qwen3.5-Flash.
Cite
Cite this page
ModelsAtlas. “Nemotron 3 Nano 30B A3B vs Qwen3.5-Flash”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/nvidia/nemotron-3-nano-30b-a3b/vs/qwen/3-5
Model A
by NVIDIA · weights not marked open · GRIDB4
$0.06
- Source
- Our catalogue
- Retrieved
- 10 Oct 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 Nano 30B A3B 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)
1 square apart. Qwen3.5-Flash (B5) sits 1 context band larger than Nemotron 3 Nano 30B A3B (B4).
Same square as Nemotron 3 Nano 30B A3B: Gemma 4 26B A4B ($0.07), Qwen3 Coder 30B A3B Instruct ($0.07), Nemotron 3 Super ($0.08). Same square as Qwen3.5-Flash: Qwen3.7 Flash ($0.03), Nemotron 3.5 Lightning (free) ($0.07), DeepSeek V4 Flash 0731 ($0.08). Open B4 · Open B5
View the map as a table (2 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDB4 | <$0.10 | 256K–1M | Nemotron 3 Nano 30B A3B, Gemma 4 26B A4B, Qwen3 Coder 30B A3B Instruct, Nemotron 3 Super, Qwen3.5-35B-A3B, Gemma 4 31B, Qwen3 235B A22B Instruct 2507 |
| GRIDB5 | <$0.10 | 1M | Qwen3.5-Flash, Nemotron 3.5 Lightning (free), DeepSeek V4 Flash 0731, 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 Nano 30B A3B if…
- you pay by the token: it costs $0.06 per 1M input against $0.07
- output dominates your bill: $0.24 per 1M output against $0.26
Choose Qwen3.5-Flash if…
- your prompts are long: it takes 1,000,000 tokens against 262,144
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 Nano 30B A3B better than Qwen3.5-Flash?
Which is cheaper, Nemotron 3 Nano 30B A3B 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 Nano 30B A3B
By NVIDIA. $0.06 input and $0.24 output per 1M tokens, 262K context, atlas square B4. 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 Nano 30B A3B 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 Nano 30B A3B better than Qwen3.5-Flash?
- Which is cheaper, Nemotron 3 Nano 30B A3B or Qwen3.5-Flash?
- How much does each cost per 1M tokens?