Model comparison
Nemotron 3 Nano Omni 30B A3B vs Trinity-Large-Thinking
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Nemotron 3 Nano Omni 30B A3B #159 (Estimated); Trinity-Large-Thinking #132 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Nemotron 3 Nano Omni 30B A3B and Trinity-Large-Thinking share 15 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to Nemotron 3 Nano Omni 30B A3B; 6 to Trinity-Large-Thinking.
Updated July 27, 2026- Shared results
- 15
- Nemotron 3 Nano Omni 30B A3B only
- 14
- Trinity-Large-Thinking only
- 6
- Comparable categories
- 0 / 8
Benchmark data for Nemotron 3 Nano Omni 30B A3B and Trinity-Large-Thinking is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 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 Omni 30B A3B. Trinity-Large-Thinking has the larger context window at 512K, compared with 256K for Nemotron 3 Nano Omni 30B A3B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Nemotron 3 Nano Omni 30B A3B | Δ | Trinity-Large-Thinking |
|---|---|---|---|
| Coding | Nemotron 3 Nano Omni 30B A3B32.0 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Knowledge | Nemotron 3 Nano Omni 30B A3B76.3 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Multimodal | Nemotron 3 Nano Omni 30B A3B76.3 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
| Inst. Following | Nemotron 3 Nano Omni 30B A3B74.2 | MarginNo overlap | Trinity-Large-ThinkingNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Nemotron 3 Nano Omni 30B A3B | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Nemotron 3 Nano Omni 30B A3B$0 input / $0 output | Trinity-Large-Thinking$0.25 input / $0.9 output | Nemotron 3 Nano Omni 30B A3B has the lower combined listed price. |
| Generation speedtokens per second | Nemotron 3 Nano Omni 30B A3BNot available | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Nemotron 3 Nano Omni 30B A3BNot available | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Nemotron 3 Nano Omni 30B A3B256K | Trinity-Large-Thinking512K | Trinity-Large-Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
| Benchmark | Nemotron 3 Nano Omni 30B A3B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| OSWorldSource | 47.4% | — | Not comparable |
| τ²-bench resultsSource | 45.3% | 90.1% | Trinity-Large-Thinking leads |
| GDPval-AASource | 0.0% | 3.2% | Trinity-Large-Thinking leads |
| GDPval-AASource | 465 | 564 | Trinity-Large-Thinking leads |
| Gert LabsSource | — | 32.55% | Not comparable |
| AA Agentic IndexSource | — | 3.6% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Nemotron 3 Nano Omni 30B A3B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| MMLU-ProSource | 77.3% | — | Not comparable |
| GPQASource | 72.2% | — | Not comparable |
| GPQA-DSource | 72.2% | 76.3% | Trinity-Large-Thinking leads |
| Artificial Analysis Intelligence IndexSource | 14.9% | 18.2% | Trinity-Large-Thinking leads |
| AA-GPQA DiamondSource | 46.9% | 75.2% | Trinity-Large-Thinking leads |
| AA-HLESource | 5.3% | 14.7% | Trinity-Large-Thinking leads |
| AA-Omniscience IndexSource | -56.0% | -44.2% | Trinity-Large-Thinking leads |
| AA-Omniscience AccuracySource | 14.8% | 22.8% | Trinity-Large-Thinking leads |
| AA-Omniscience Hallucination RateSource | 83.1% | 86.6% | Nemotron 3 Nano Omni 30B A3B leads |
| MMLU-Pro (Arcee)Source | — | 83.4% | Not comparable |
Math2 benchmarks
Multimodal9 benchmarks
| Benchmark | Nemotron 3 Nano Omni 30B A3B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| MMMUSource | 70.8% | — | Not comparable |
| MMLongBench-DocSource | 57.5% | — | Not comparable |
| CharXivSource | 76.3% | — | Not comparable |
| ScreenSpot ProSource | 57.8% | — | Not comparable |
| Video-MME (w/o subtitle)Source | 72.2% | — | Not comparable |
| AI2D_TESTSource | 88.5% | — | Not comparable |
| RefCOCO (avg)Source | 90.5% | — | Not comparable |
| AA-MMMU-ProSource | 53.2% | — | Not comparable |
| Design Arena WebsiteSource | — | 1162 | Not comparable |
Frequently Asked Questions (3)
Can I compare Nemotron 3 Nano Omni 30B A3B 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 Omni 30B A3B and Trinity-Large-Thinking today?
Nemotron 3 Nano Omni 30B A3B: $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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