API cost decision in 10 seconds
NewQwen3.7 Max vs 🔥Nemotron 3 Super (free)
Pick Nemotron 3 Super (free) when budget is the priority.
Budget verdict
Pick Nemotron 3 Super (free) when budget is the priority.
On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $6.25 for Qwen3.7 Max, saving $6.25 (100% lower).
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $62.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3 Super (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.7 Max | Nemotron 3 Super (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Super (free) | $16.25 | $0 |
| Balanced workload | 1M input + 1M output | Nemotron 3 Super (free) | $10 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3 Super (free) | $40 | $0 |
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 Super (free) has the lower input price, Nemotron 3 Super (free) has the lower output price, and Tie offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Qwen3.7 Max and $0 for Nemotron 3 Super (free).
Choose Qwen3.7 Max when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Nemotron 3 Super (free) when you care most about lower input-token price, and lower output-token price.
| Feature | NewQwen3.7 Max (Qwen) | 🔥Nemotron 3 Super (free) (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $2.5 | $0 |
| Completion Price per 1M tokens | $7.5 | $0 |
| Sample Workload Cost 1M input + 500K output | $6.25 | $0 |
| Context Window | 1M | 1M |
| Release Date | 2026-05-21 | 2026-03-11 |
| Popularity | #9 |
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3 Super (free) | On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $6.25 for Qwen3.7 Max, saving $6.25 (100% lower). |
| High-volume input processing | Nemotron 3 Super (free) | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Nemotron 3 Super (free) | 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 and source files. |