Model comparison · Updated 2 Nov 2026
Nemotron 3.5 Super VL vs Qwen3.8 Omni Flash
Nemotron 3.5 Super VL and Qwen3.8 Omni Flash cost the same on input, $0.15 per 1M tokens. Nemotron 3.5 Super VL 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 $113 a month for Nemotron 3.5 Super VL and $110 for Qwen3.8 Omni Flash.
Cite
Cite this page
ModelsAtlas. “Nemotron 3.5 Super VL vs Qwen3.8 Omni Flash”. Retrieved 2 Nov 2026. https://modelsatlas.com/compare/nvidia/nemotron-3-5-super-vl/vs/qwen/3-8-omni
Model A
by NVIDIA · weights not marked open · GRIDC5
$0.15
- Source
- Our catalogue
- Retrieved
- 2 Nov 2026
Model B
by Qwen (Alibaba) · weights not marked open · GRIDC5
$0.15
- Source
- Our catalogue
- Retrieved
- 10 Oct 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
Nemotron 3.5 Super VL Qwen3.8 Omni 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 3.5 Super VL and Qwen3.8 Omni Flash share C5.
Same square as Nemotron 3.5 Super VL: Claude Haiku 5.5 ($0.10), Muse Spark 1.2 Contributor ($0.10), Muse Spark 1.3 Contributor ($0.10). Open C5
View the map as a table (1 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDC5 | $0.10–0.30 | 1M | Nemotron 3.5 Super VL, Qwen3.8 Omni Flash, MiniMax M3.1 Flash, Qwen3.8 Flash, Qwen3.8 27B, Qwen3.6 Flash, MiniMax-01 |
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 3.5 Super VL if…
- your prompts are long: it takes 1,048,576 tokens against 1,000,000
- you want to try it free: it lists a free tier
Choose Qwen3.8 Omni Flash if…
- output dominates your bill: $0.47 per 1M output against $0.50
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 3.5 Super VL better than Qwen3.8 Omni Flash?
Which is cheaper, Nemotron 3.5 Super VL or Qwen3.8 Omni 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?
Is either model free?
What would each cost for a support chatbot?
About the two models
Nemotron 3.5 Super VL
By NVIDIA. $0.15 input and $0.50 output per 1M tokens, 1.05M context, atlas square C5. Tiers listed: free, standard.
Full specs & pricing →Qwen3.8 Omni Flash
By Qwen (Alibaba). $0.15 input and $0.47 output per 1M tokens, 1M context, atlas square C5. Tiers listed: standard.
Full specs & pricing →Compare Nemotron 3.5 Super VL with…
Compare Qwen3.8 Omni Flash with…
- MiniMax M3.1 Flash$0.15
- Qwen3.8 27B$0.15
- Qwen3.8 Flash$0.15
- Qwen3.6 Flash$0.19
- All alternatives →
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is Nemotron 3.5 Super VL better than Qwen3.8 Omni Flash?
- Which is cheaper, Nemotron 3.5 Super VL or Qwen3.8 Omni Flash?
- How much does each cost per 1M tokens?