Nemotron 3.5 Super VL is $0.22 cheaper per 1M input tokens (59.5% lower; 2.47x difference).
API cost decision in 10 seconds
NewNemotron 3.5 Super VL vs GLM 5.3 FlashX
Pick Nemotron 3.5 Super VL when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nemotron 3.5 Super VL when budget is the priority.
On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL is estimated at $0.4 vs $0.99 for GLM 5.3 FlashX, saving $0.59 (59.8% lower).
Cost-first pickNemotron 3.5 Super VL
Context-first pickBoth models
Sample savings$0.5959.8%
10x traffic gap$5.95
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $5.95. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3.5 Super VL stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nemotron 3.5 Super VL | GLM 5.3 FlashX |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3.5 Super VL | $1 | $2.48 |
| Balanced workload | 1M input + 1M output | Nemotron 3.5 Super VL | $0.65 | $1.62 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3.5 Super VL | $2.65 | $6.62 |
Nemotron 3.5 Super VL is $0.75 cheaper per 1M output tokens (60% lower; 2.5x difference).
Both models report the same context window at 1.05M tokens.
Nemotron 3.5 Super VL is $0.59 cheaper on the standard workload (59.8% 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
Nemotron 3.5 Super VL has the lower input price; Nemotron 3.5 Super VL has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Nemotron 3.5 Super VL 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 $0.99 for GLM 5.3 FlashX.
Choose Nemotron 3.5 Super VL when you care most about lower input-token price, and lower output-token price.
Choose GLM 5.3 FlashX when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL is estimated at $0.4 vs $0.99 for GLM 5.3 FlashX, saving $0.59 (59.8% lower).
- Nemotron 3.5 Super VL is $0.59 cheaper on the standard workload (59.8% lower).
- Nemotron 3.5 Super VL is $0.22 cheaper per 1M input tokens (59.5% lower; 2.47x difference).
- Nemotron 3.5 Super VL is $0.75 cheaper per 1M output tokens (60% lower; 2.5x difference).
- Both models report the same context window at 1.05M tokens.
| Feature | NewNemotron 3.5 Super VL (NVIDIA) | GLM 5.3 FlashX (Z.ai) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.37 |
| Completion Price per 1M tokens | $0.5 | $1.25 |
| Sample Workload Cost 1M input + 500K output | $0.4 | $0.99 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3.5 Super VL | On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL is estimated at $0.4 vs $0.99 for GLM 5.3 FlashX, saving $0.59 (59.8% lower). |
| High-volume input processing | Nemotron 3.5 Super VL | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron 3.5 Super VL | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | 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
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Open NVIDIA modelsZ.ai catalog
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Open Z.ai 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...
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...