Model comparison
MAI-Thinking-1 vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MAI-Thinking-1 unranked (Not scored); Nemotron 3 Nano Omni 30B A3B #151 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MAI-Thinking-1 and Nemotron 3 Nano Omni 30B A3B share 5 comparable benchmark results. 3 of 8 categories are comparable. 8 results are unique to MAI-Thinking-1; 24 to Nemotron 3 Nano Omni 30B A3B.
Updated July 23, 2026- Shared results
- 5
- MAI-Thinking-1 only
- 8
- Nemotron 3 Nano Omni 30B A3B only
- 24
- Comparable categories
- 3 / 8
Treat this as a split decision. MAI-Thinking-1 makes more sense if coding is the priority; Nemotron 3 Nano Omni 30B A3B is the better fit if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
MAI-Thinking-1 and Nemotron 3 Nano Omni 30B A3B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
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 | MAI-Thinking-1 | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | MAI-Thinking-165.5 | Margin← 33.5 | Nemotron 3 Nano Omni 30B A3B32.0 |
| Inst. Following | MAI-Thinking-185.0 | Margin← 10.8 | Nemotron 3 Nano Omni 30B A3B74.2 |
| Knowledge | MAI-Thinking-172.5 | Margin→ 3.8 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Agentic | MAI-Thinking-146.0 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Math | MAI-Thinking-189.7 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Multimodal | MAI-Thinking-1Not measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 84.2%B 72.2%Winner: MAI-Thinking-1Δ 12GPQA: MAI-Thinking-1 scored 84.2%; Nemotron 3 Nano Omni 30B A3B scored 72.2%. MAI-Thinking-1 wins this benchmark. - Source ↗
IFBench
Inst. FollowingA 85%B 74.2%Winner: MAI-Thinking-1Δ 10.8IFBench: MAI-Thinking-1 scored 85%; Nemotron 3 Nano Omni 30B A3B scored 74.2%. MAI-Thinking-1 wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 85%B 77.3%Winner: MAI-Thinking-1Δ 7.7MMLU-Pro: MAI-Thinking-1 scored 85%; Nemotron 3 Nano Omni 30B A3B scored 77.3%. MAI-Thinking-1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MAI-Thinking-1 | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MAI-Thinking-1Not available | Nemotron 3 Nano Omni 30B A3B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | MAI-Thinking-1Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MAI-Thinking-1Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MAI-Thinking-1256K | Nemotron 3 Nano Omni 30B A3B256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic5 benchmarks
CodingMAI-Thinking-1 wins6 benchmarks
Reasoning3 benchmarks
KnowledgeNemotron 3 Nano Omni 30B A3B wins10 benchmarks
| Benchmark | MAI-Thinking-1 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| GPQASource | 84.2% | 72.2% | MAI-Thinking-1 leads |
| GPQA-DSource | 84.2% | 72.2% | MAI-Thinking-1 leads |
| MMLU-ProSource | 85% | 77.3% | MAI-Thinking-1 leads |
| SimpleQASource | 31% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 14.9% | Not comparable |
| AA-GPQA DiamondSource | — | 46.9% | Not comparable |
| AA-HLESource | — | 5.3% | Not comparable |
| AA-Omniscience IndexSource | — | -56.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 14.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 83.1% | Not comparable |
Math3 benchmarks
Multimodal8 benchmarks
| Benchmark | MAI-Thinking-1 | Nemotron 3 Nano Omni 30B A3B | 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 |
Frequently Asked Questions (4)
Which is better, MAI-Thinking-1 or Nemotron 3 Nano Omni 30B A3B?
MAI-Thinking-1 and Nemotron 3 Nano Omni 30B A3B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, MAI-Thinking-1 or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 76.3 versus 72.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, MAI-Thinking-1 or Nemotron 3 Nano Omni 30B A3B?
MAI-Thinking-1 has the edge for coding in this comparison, averaging 65.5 versus 32. Nemotron 3 Nano Omni 30B A3B stays close enough that the answer can still flip depending on your workload.
Which is better for instruction following, MAI-Thinking-1 or Nemotron 3 Nano Omni 30B A3B?
MAI-Thinking-1 has the edge for instruction following in this comparison, averaging 85 versus 74.2. Inside this category, IFBench is the benchmark that creates the most daylight between them.
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