Both models report the same input price at $0.15 per 1M tokens.
API cost decision in 10 seconds
NewNemotron 3.5 Super VL vs Qwen3.8 Omni Flash
Pick Qwen3.8 Omni Flash for lower cost; pick Nemotron 3.5 Super VL only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3.8 Omni Flash for lower cost; pick Nemotron 3.5 Super VL only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $0.4 for Nemotron 3.5 Super VL, saving $0.02 (3.8% lower).
Cost-first pickQwen3.8 Omni Flash
Context-first pickNemotron 3.5 Super VL
Sample savings$0.023.8%
10x traffic gap$0.15
Nemotron 3.5 Super VL has more context, but Qwen3.8 Omni Flash saves $0.02 on the standard workload. At 10x that traffic, the same price gap is about $0.15. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.8 Omni Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nemotron 3.5 Super VL | Qwen3.8 Omni Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.8 Omni Flash | $1 | $0.98 |
| Balanced workload | 1M input + 1M output | Qwen3.8 Omni Flash | $0.65 | $0.62 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.8 Omni Flash | $2.65 | $2.5 |
Qwen3.8 Omni Flash is $0.03 cheaper per 1M output tokens (6% lower; 1.06x difference).
Nemotron 3.5 Super VL has 48.58K more context (1.05x larger).
Qwen3.8 Omni Flash is $0.02 cheaper on the standard workload (3.8% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
both models tie on input price; Qwen3.8 Omni Flash has the lower output price; Nemotron 3.5 Super VL offers the larger context window. For the 1M input plus 500K output sample, Qwen3.8 Omni Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for Nemotron 3.5 Super VL and $0.39 for Qwen3.8 Omni Flash.
Choose Nemotron 3.5 Super VL when you care most about larger context window.
Choose Qwen3.8 Omni Flash when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $0.4 for Nemotron 3.5 Super VL, saving $0.02 (3.8% lower).
- Qwen3.8 Omni Flash is $0.02 cheaper on the standard workload (3.8% lower).
- Both models report the same input price at $0.15 per 1M tokens.
- Qwen3.8 Omni Flash is $0.03 cheaper per 1M output tokens (6% lower; 1.06x difference).
- Nemotron 3.5 Super VL has 48.58K more context (1.05x larger).
| Feature | NewNemotron 3.5 Super VL (NVIDIA) | Qwen3.8 Omni Flash (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.15 |
| Completion Price per 1M tokens | $0.5 | $0.47 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $0.39 |
| Context Window | 1.05M | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.8 Omni Flash | On the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $0.4 for Nemotron 3.5 Super VL, saving $0.02 (3.8% lower). |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.8 Omni Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nemotron 3.5 Super VL | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Nemotron 3 Ultra (free) can replace Nemotron 3.5 Super VL when lower sample workload cost matters most: $0.
- Nemotron 3.5 Super VL (free) can replace Nemotron 3.5 Super VL when lower sample workload cost matters most: $0.
- Nemotron 3.5 Lightning (free) can replace Nemotron 3.5 Super VL when lower sample workload cost matters most: $0.
- Nemotron 3.5 Content Safety (free) can replace Nemotron 3.5 Super VL when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
- GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.
- DeepSeek V4.1 Flash · DeepSeek · #1
- Step 5 Preview · StepFun · #2
- GLM 5.3 Flash · Z.ai · #3
- MiMo-V2.6-Flash · Xiaomi · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsNVIDIA catalog
Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.
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Open Qwen modelsNVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...