Model comparison
Nemotron 3 Nano 30B vs Trinity-Large-Thinking
Head-to-head evidence from 13 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Nemotron 3 Nano 30B #98 (Estimated); Trinity-Large-Thinking #100 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Nemotron 3 Nano 30B and Trinity-Large-Thinking share 13 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Nemotron 3 Nano 30B; 6 to Trinity-Large-Thinking.
Updated July 23, 2026- Shared results
- 13
- Nemotron 3 Nano 30B only
- 2
- Trinity-Large-Thinking only
- 6
- Comparable categories
- 0 / 8
Benchmark data for Nemotron 3 Nano 30B and Trinity-Large-Thinking is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Trinity-Large-Thinking is priced at $0.25 input / $0.90 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano 30B. Trinity-Large-Thinking has the larger context window at 512K, compared with 32K for Nemotron 3 Nano 30B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Nemotron 3 Nano 30B | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Nemotron 3 Nano 30B$0 input / $0 output | Trinity-Large-Thinking$0.25 input / $0.9 output | Nemotron 3 Nano 30B has the lower combined listed price. |
| Generation speedtokens per second | Nemotron 3 Nano 30B152 tok/s | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Nemotron 3 Nano 30B1.90 s | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Nemotron 3 Nano 30B32K | Trinity-Large-Thinking512K | Trinity-Large-Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Nemotron 3 Nano 30B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.2% | 24.5% | Trinity-Large-Thinking leads |
| AA-GPQA DiamondSource | 75.7% | 75.2% | Nemotron 3 Nano 30B leads |
| AA-HLESource | 10.2% | 14.7% | Trinity-Large-Thinking leads |
| AA-Omniscience IndexSource | -51.6% | -44.2% | Trinity-Large-Thinking leads |
| AA-Omniscience AccuracySource | 17.1% | 22.8% | Trinity-Large-Thinking leads |
| AA-Omniscience Hallucination RateSource | 82.9% | 86.6% | Nemotron 3 Nano 30B leads |
| GPQA-DSource | — | 76.3% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 83.4% | Not comparable |
Math1 benchmarks
| Benchmark | Nemotron 3 Nano 30B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 96.3% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Nemotron 3 Nano 30B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Nemotron 3 Nano 30B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AA-IFBenchSource | 71.1% | 56.3% | Nemotron 3 Nano 30B leads |
Frequently Asked Questions (3)
Can I compare Nemotron 3 Nano 30B and Trinity-Large-Thinking on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Nemotron 3 Nano 30B and Trinity-Large-Thinking today?
Nemotron 3 Nano 30B: $0.00 input / $0.00 output per 1M tokens Trinity-Large-Thinking: $0.25 input / $0.90 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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