Ring-2.6-1T is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
API cost decision in 10 seconds
NewRing-2.6-1T vs Nemotron 3 Super
Pick Nemotron 3 Super when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nemotron 3 Super when budget and context both matter.
On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.39 for Ring-2.6-1T, saving $0.07 (18.7% lower).
Cost-first pickNemotron 3 Super
Context-first pickNemotron 3 Super
Sample savings$0.0718.7%
10x traffic gap$0.73
Nemotron 3 Super is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.73. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3 Super stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Ring-2.6-1T | Nemotron 3 Super |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Super | $0.69 | $0.68 |
| Balanced workload | 1M input + 1M output | Nemotron 3 Super | $0.7 | $0.54 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3 Super | $3.2 | $2.34 |
Nemotron 3 Super is $0.17 cheaper per 1M output tokens (28% lower; 1.39x difference).
Nemotron 3 Super has 737.86K more context (3.81x larger).
Nemotron 3 Super is $0.07 cheaper on the standard workload (18.7% 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
Ring-2.6-1T has the lower input price; Nemotron 3 Super has the lower output price; Nemotron 3 Super offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Super is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for Ring-2.6-1T and $0.32 for Nemotron 3 Super.
Choose Ring-2.6-1T when you care most about lower input-token price.
Choose Nemotron 3 Super when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.39 for Ring-2.6-1T, saving $0.07 (18.7% lower).
- Nemotron 3 Super is $0.07 cheaper on the standard workload (18.7% lower).
- Ring-2.6-1T is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
- Nemotron 3 Super is $0.17 cheaper per 1M output tokens (28% lower; 1.39x difference).
- Nemotron 3 Super has 737.86K more context (3.81x larger).
| Feature | NewRing-2.6-1T (inclusionAI) | Nemotron 3 Super (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.075 | $0.09 |
| Completion Price per 1M tokens | $0.625 | $0.45 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $0.32 |
| Context Window | 262.14K | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3 Super | On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.39 for Ring-2.6-1T, saving $0.07 (18.7% lower). |
| High-volume input processing | Ring-2.6-1T | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron 3 Super | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nemotron 3 Super | 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.
- Nemotron 3 Nano Omni (free) can replace Nemotron 3 Super when lower sample workload cost matters most: $0.
- Nemotron 3 Super (free) can replace Nemotron 3 Super when lower sample workload cost matters most: $0.
- Nemotron 3 Nano 30B A3B (free) can replace Nemotron 3 Super when lower sample workload cost matters most: $0.
- 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.
- DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
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Open provider hubsinclusionAI catalog
Review all tracked inclusionAI models before deciding whether this matchup is the right shortlist.
Open inclusionAI modelsNVIDIA catalog
Check other NVIDIA models with comparable pricing, context, or release timing.
Open NVIDIA modelsRing-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...
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...