Nemotron 3.5 Super VL is $0.85 cheaper per 1M input tokens (85% lower; 6.67x difference).
API cost decision in 10 seconds
NewGPT-6.1 Terra vs NewNemotron 3.5 Super VL
Pick Nemotron 3.5 Super VL for lower cost; pick GPT-6.1 Terra 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 Nemotron 3.5 Super VL for lower cost; pick GPT-6.1 Terra only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL is estimated at $0.4 vs $3.5 for GPT-6.1 Terra, saving $3.1 (88.6% lower).
Cost-first pickNemotron 3.5 Super VL
Context-first pickGPT-6.1 Terra
Sample savings$3.188.6%
10x traffic gap$31
GPT-6.1 Terra has more context, but Nemotron 3.5 Super VL saves $3.1 on the standard workload. At 10x that traffic, the same price gap is about $31. 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 | GPT-6.1 Terra | Nemotron 3.5 Super VL |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3.5 Super VL | $7.5 | $1 |
| Balanced workload | 1M input + 1M output | Nemotron 3.5 Super VL | $6 | $0.65 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3.5 Super VL | $26 | $2.65 |
Nemotron 3.5 Super VL is $4.5 cheaper per 1M output tokens (90% lower; 10x difference).
GPT-6.1 Terra has 1.42K more context (1x larger).
Nemotron 3.5 Super VL is $3.1 cheaper on the standard workload (88.6% 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; GPT-6.1 Terra offers the larger 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 $3.5 for GPT-6.1 Terra and $0.4 for Nemotron 3.5 Super VL.
Choose GPT-6.1 Terra when you care most about larger context window.
Choose Nemotron 3.5 Super VL when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL is estimated at $0.4 vs $3.5 for GPT-6.1 Terra, saving $3.1 (88.6% lower).
- Nemotron 3.5 Super VL is $3.1 cheaper on the standard workload (88.6% lower).
- Nemotron 3.5 Super VL is $0.85 cheaper per 1M input tokens (85% lower; 6.67x difference).
- Nemotron 3.5 Super VL is $4.5 cheaper per 1M output tokens (90% lower; 10x difference).
- GPT-6.1 Terra has 1.42K more context (1x larger).
| Feature | NewGPT-6.1 Terra (OpenAI) | NewNemotron 3.5 Super VL (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $0.15 |
| Completion Price per 1M tokens | $5 | $0.5 |
| Sample Workload Cost 1M input + 500K output | $3.5 | $0.4 |
| 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 $3.5 for GPT-6.1 Terra, saving $3.1 (88.6% 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 | GPT-6.1 Terra | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-6.1 Terra when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-6.1 Terra when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-6.1 Terra when lower sample workload cost matters most: $0.06.
- gpt-oss-20b (batch) can replace GPT-6.1 Terra when lower sample workload cost matters most: $0.08.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
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