Nemotron 3 Nano 30B A3B is $0.17 cheaper per 1M input tokens (77.3% lower; 4.4x difference).
API cost decision in 10 seconds
Trinity Large Thinking vs Nemotron 3 Nano 30B A3B
Pick Nemotron 3 Nano 30B A3B when budget is the priority.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nemotron 3 Nano 30B A3B when budget is the priority.
On the standard 1M input plus 500K output workload, Nemotron 3 Nano 30B A3B is estimated at $0.15 vs $0.65 for Trinity Large Thinking, saving $0.49 (76.7% lower).
Cost-first pickNemotron 3 Nano 30B A3B
Context-first pickBoth models
Sample savings$0.4976.7%
10x traffic gap$4.95
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $4.95. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron 3 Nano 30B A3B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Trinity Large Thinking | Nemotron 3 Nano 30B A3B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Nano 30B A3B | $1.53 | $0.35 |
| Balanced workload | 1M input + 1M output | Nemotron 3 Nano 30B A3B | $1.07 | $0.25 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3 Nano 30B A3B | $4.47 | $1.05 |
Nemotron 3 Nano 30B A3B is $0.65 cheaper per 1M output tokens (76.5% lower; 4.25x difference).
Both models report the same context window at 262.14K tokens.
Nemotron 3 Nano 30B A3B is $0.49 cheaper on the standard workload (76.7% 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
Nemotron 3 Nano 30B A3B has the lower input price; Nemotron 3 Nano 30B A3B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Nemotron 3 Nano 30B A3B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Trinity Large Thinking and $0.15 for Nemotron 3 Nano 30B A3B.
Choose Trinity Large Thinking when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Nemotron 3 Nano 30B A3B 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 Nano 30B A3B is estimated at $0.15 vs $0.65 for Trinity Large Thinking, saving $0.49 (76.7% lower).
- Nemotron 3 Nano 30B A3B is $0.49 cheaper on the standard workload (76.7% lower).
- Nemotron 3 Nano 30B A3B is $0.17 cheaper per 1M input tokens (77.3% lower; 4.4x difference).
- Nemotron 3 Nano 30B A3B is $0.65 cheaper per 1M output tokens (76.5% lower; 4.25x difference).
- Both models report the same context window at 262.14K tokens.
| Feature | Trinity Large Thinking (Arcee AI) | Nemotron 3 Nano 30B A3B (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.22 | $0.05 |
| Completion Price per 1M tokens | $0.85 | $0.2 |
| Sample Workload Cost 1M input + 500K output | $0.65 | $0.15 |
| Context Window | 262.14K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron 3 Nano 30B A3B | On the standard 1M input plus 500K output workload, Nemotron 3 Nano 30B A3B is estimated at $0.15 vs $0.65 for Trinity Large Thinking, saving $0.49 (76.7% lower). |
| High-volume input processing | Nemotron 3 Nano 30B A3B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron 3 Nano 30B A3B | 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
- Trinity Large Thinking (free) can replace Trinity Large Thinking when lower sample workload cost matters most: $0.
- Trinity Mini can replace Trinity Large Thinking when lower sample workload cost matters most: $0.12.
- Spotlight can replace Trinity Large Thinking when lower sample workload cost matters most: $0.27.
- Nemotron 3 Nano Omni (free) can replace Nemotron 3 Nano 30B A3B 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 $0.2 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
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Open largest context modelsProvider catalogs
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Open provider hubsArcee AI catalog
Review all tracked Arcee AI models before deciding whether this matchup is the right shortlist.
Open Arcee AI modelsNVIDIA catalog
Check other NVIDIA models with comparable pricing, context, or release timing.
Open NVIDIA modelsTrinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...