Model comparison
Llama 4 Maverick vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 15 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Llama 4 Maverick #201 (Supported); Nemotron 3 Nano Omni 30B A3B #159 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Maverick and Nemotron 3 Nano Omni 30B A3B share 15 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Llama 4 Maverick; 14 to Nemotron 3 Nano Omni 30B A3B.
Updated July 27, 2026- Shared results
- 15
- Llama 4 Maverick only
- 3
- Nemotron 3 Nano Omni 30B A3B only
- 14
- Comparable categories
- 0 / 8
Benchmark data for Llama 4 Maverick and Nemotron 3 Nano Omni 30B A3B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 6 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.
Llama 4 Maverick has the larger context window at 1M, 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 | Llama 4 Maverick | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | Llama 4 MaverickNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B32.0 |
| Knowledge | Llama 4 MaverickNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
| Math | Llama 4 Maverick0.7 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Multimodal | Llama 4 MaverickNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
| Inst. Following | Llama 4 MaverickNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B74.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Llama 4 Maverick | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Maverick$0 input / $0 output | Nemotron 3 Nano Omni 30B A3B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Llama 4 Maverick121 tok/s | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Llama 4 Maverick0.95 s | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Llama 4 Maverick1M | Nemotron 3 Nano Omni 30B A3B256K | Llama 4 Maverick lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Llama 4 Maverick | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.3% | 14.9% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-GPQA DiamondSource | 67.1% | 46.9% | Llama 4 Maverick leads |
| AA-HLESource | 4.8% | 5.3% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-Omniscience IndexSource | -41.8% | -56.0% | Llama 4 Maverick leads |
| AA-Omniscience AccuracySource | 24.3% | 14.8% | Llama 4 Maverick leads |
| AA-Omniscience Hallucination RateSource | 87.3% | 83.1% | Nemotron 3 Nano Omni 30B A3B leads |
| MMLU-ProSource | — | 77.3% | Not comparable |
| GPQASource | — | 72.2% | Not comparable |
| GPQA-DSource | — | 72.2% | Not comparable |
Math2 benchmarks
Multimodal9 benchmarks
| Benchmark | Llama 4 Maverick | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 62.1% | 53.2% | Llama 4 Maverick leads |
| Design Arena WebsiteSource | 896 | — | Not comparable |
| 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 |
Frequently Asked Questions (3)
Can I compare Llama 4 Maverick and Nemotron 3 Nano Omni 30B A3B 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 Llama 4 Maverick and Nemotron 3 Nano Omni 30B A3B today?
Llama 4 Maverick: $0.00 input / $0.00 output per 1M tokens Nemotron 3 Nano Omni 30B A3B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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