LLM Comparison
Nemotron 3.5 Lightning 30B A3B vs Trinity Large Thinking
Side-by-side specs, pricing & capabilities
Price vs Intelligence
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2/6 models| Organization | ||
| OpenTools Score | 19 36.2 | 12 22.6 |
| Family | Nemotron | Trinity |
| Status | Current | Current |
| Release Date | Aug 2026 | Apr 2026 |
| Context Window | 1.0M tokens | 262K tokens |
| Input Price | $0.10/M tokens | $0.22/M tokens |
| Output Price | $0.95/M tokens | $0.85/M tokens |
| Pricing Notes | NVIDIA build lists serverless NIM pricing at $0.10 input and $0.95 output per million tokens. Self-hosted weights are also available; infrastructure costs vary. | Cache read: $0.0600/M tokens |
| Capabilities | textreasoningcodingtool-usefunction-callinglong-contextagenticlocal-deploymentopen-weights | textcodeextended-thinking |
| Training Cutoff | May 2026 post-training; September 2025 pre-training | — |
| Max Output | 33K tokens | 262K tokens |
| API Identifier | nvidia/nemotron-3.5-lightning-30b-a3b | arcee-ai/trinity-large-thinking |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.3 | 13.6 indexartificial-analysis | 10.9 indexartificial-analysis |
| Artificial Analysis Intelligence Index v4.3 | 14 indexhttps://artificialanalysis.ai/models/nemotron-3-5-lightning | — |
| GPQA Diamond | 74.3%artificial-analysis | 75.2%artificial-analysis |
| GPQA Diamond | — | 76.3%https://huggingface.co/arcee-ai/Trinity-Large-Thinking |
| MMLU-Pro | — | 83.4%https://huggingface.co/arcee-ai/Trinity-Large-Thinking |
| SciCode | 32.1%artificial-analysis | 40.6%artificial-analysis |
| Terminal-Bench 2.1 | 24.3%artificial-analysis | 20.6%artificial-analysis |
| View Nemotron 3.5 Lightning 30B A3B | View Trinity Large Thinking | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Nemotron 3.5 Lightning 30B A3BCheapest | $0.10 | $0.48 | $0.58 | — |
| Trinity Large Thinking | $0.22 | $0.43 | $0.65 | +12% |
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NVIDIA
Nemotron 3.5 Lightning 30B A3B
Nemotron 3.5 Lightning is NVIDIA open-weight 30B-A3B reasoning model for fast, long-running agents. Its hybrid Mamba-2, mixture-of-experts, and attention architecture supports function calling, coding, tool use, long context, and efficient local or serverless deployment.
Arcee AI
Trinity Large Thinking
Trinity Large Thinking is a large language model from Arcee AI. Supports up to 262,144 token context window. Available from $0.22/M input tokens.
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