Nemotron 3 Super (free) is free for input tokens while Ring-2.6-1T costs $0.07 per 1M tokens.
API cost decision in 10 seconds
🔥Nemotron 3 Super (free) vs Ring-2.6-1T
Pick Nemotron 3 Super (free) when budget and context both matter.
Budget verdict
Pick Nemotron 3 Super (free) when budget and context both matter.
On the standard 1M input plus 500K output workload, Nemotron 3 Super (free) is estimated at $0 vs $0.39 for Ring-2.6-1T, saving $0.39 (100% lower).
Nemotron 3 Super (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.88. Use the calculator below to replace the sample workload with your own token volume.
Nemotron 3 Super (free) is free for output tokens while Ring-2.6-1T costs $0.62 per 1M tokens.
Nemotron 3 Super (free) has 737.86K more context (3.81x larger).
Nemotron 3 Super (free) is free for the standard workload while the other model is estimated at $0.39.
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; Nemotron 3 Super (free) offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Super (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron 3 Super (free) and $0.39 for Ring-2.6-1T.
Choose Nemotron 3 Super (free) when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Ring-2.6-1T 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 Super (free) is estimated at $0 vs $0.39 for Ring-2.6-1T, saving $0.39 (100% lower).
- Nemotron 3 Super (free) is free for the standard workload while the other model is estimated at $0.39.
- Nemotron 3 Super (free) is free for input tokens while Ring-2.6-1T costs $0.07 per 1M tokens.
- Nemotron 3 Super (free) is free for output tokens while Ring-2.6-1T costs $0.62 per 1M tokens.
- Nemotron 3 Super (free) has 737.86K more context (3.81x larger).
| Feature | 🔥Nemotron 3 Super (free) (NVIDIA) | Ring-2.6-1T (inclusionAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.075 |
| Completion Price per 1M tokens | $0 | $0.625 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.39 |
| Context Window | 1M | 262.14K |
| Release Date | ||
| Popularity Rank current rank | #14 | Unranked |
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 $0.39 for Ring-2.6-1T, saving $0.39 (100% lower). |
| High-volume input processing | Nemotron 3 Super (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents 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 | Nemotron 3 Super (free) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Ling-2.6-flash can replace Ring-2.6-1T when lower sample workload cost matters most: $0.03.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.22 sample workload cost.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models ranked by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open inclusionAI modelsNVIDIA 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...
Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool...