Trinity Mini is $0.04 cheaper per 1M input tokens (50% lower; 2x difference).
API cost decision in 10 seconds
Nemotron 3 Super vs Trinity Mini
Pick Trinity Mini for lower cost; pick Nemotron 3 Super 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 Trinity Mini for lower cost; pick Nemotron 3 Super only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Trinity Mini is estimated at $0.12 vs $0.32 for Nemotron 3 Super, saving $0.2 (61.9% lower).
Cost-first pickTrinity Mini
Context-first pickNemotron 3 Super
Sample savings$0.261.9%
10x traffic gap$1.95
Nemotron 3 Super has more context, but Trinity Mini saves $0.2 on the standard workload. At 10x that traffic, the same price gap is about $1.95. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Trinity Mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nemotron 3 Super | Trinity Mini |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Trinity Mini | $0.68 | $0.3 |
| Balanced workload | 1M input + 1M output | Trinity Mini | $0.54 | $0.2 |
| Output-heavy chatbot | 1M input + 5M output | Trinity Mini | $2.34 | $0.8 |
Trinity Mini is $0.3 cheaper per 1M output tokens (66.7% lower; 3x difference).
Nemotron 3 Super has 868.93K more context (7.63x larger).
Trinity Mini is $0.2 cheaper on the standard workload (61.9% 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
Trinity Mini has the lower input price; Trinity Mini has the lower output price; Nemotron 3 Super offers the larger context window. For the 1M input plus 500K output sample, Trinity Mini is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.32 for Nemotron 3 Super and $0.12 for Trinity Mini.
Choose Nemotron 3 Super when you care most about larger context window.
Choose Trinity Mini when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Trinity Mini is estimated at $0.12 vs $0.32 for Nemotron 3 Super, saving $0.2 (61.9% lower).
- Trinity Mini is $0.2 cheaper on the standard workload (61.9% lower).
- Trinity Mini is $0.04 cheaper per 1M input tokens (50% lower; 2x difference).
- Trinity Mini is $0.3 cheaper per 1M output tokens (66.7% lower; 3x difference).
- Nemotron 3 Super has 868.93K more context (7.63x larger).
| Feature | Nemotron 3 Super (NVIDIA) | Trinity Mini (Arcee AI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.09 | $0.045 |
| Completion Price per 1M tokens | $0.45 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $0.32 | $0.12 |
| Context Window | 1M | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Trinity Mini | On the standard 1M input plus 500K output workload, Trinity Mini is estimated at $0.12 vs $0.32 for Nemotron 3 Super, saving $0.2 (61.9% lower). |
| High-volume input processing | Trinity Mini | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Trinity Mini | 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
- Nemotron 3 Super (free) can replace Nemotron 3 Super when lower sample workload cost matters most: $0.
- Nemotron 3 Nano Omni (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.
- Nemotron Nano 12B 2 VL (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 $0.2 sample workload cost.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.
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- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsNVIDIA catalog
Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.
Open NVIDIA modelsArcee AI catalog
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Open Arcee AI 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...
Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function...