Model comparison
Llama 4 Scout vs Nemotron 3 Nano 30B
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: Llama 4 Scout #174 (Supported); Nemotron 3 Nano 30B #98 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Scout and Nemotron 3 Nano 30B share 15 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Llama 4 Scout; 0 to Nemotron 3 Nano 30B.
Updated July 22, 2026- Shared results
- 15
- Llama 4 Scout only
- 3
- Nemotron 3 Nano 30B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Llama 4 Scout and Nemotron 3 Nano 30B 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.
Llama 4 Scout has the larger context window at 10M, 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 | Llama 4 Scout | Nemotron 3 Nano 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Scout$0 input / $0 output | Nemotron 3 Nano 30B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Llama 4 Scout128 tok/s | Nemotron 3 Nano 30B152 tok/s | Nemotron 3 Nano 30B has the higher measured throughput. |
| First-answer latencyseconds to first token | Llama 4 Scout0.70 s | Nemotron 3 Nano 30B1.90 s | Llama 4 Scout reaches the first token sooner. |
| Context windowmaximum listed tokens | Llama 4 Scout10M | Nemotron 3 Nano 30B32K | Llama 4 Scout lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Llama 4 Scout | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 10.0% | 14.2% | Nemotron 3 Nano 30B leads |
| AA-GPQA DiamondSource | 58.7% | 75.7% | Nemotron 3 Nano 30B leads |
| AA-HLESource | 4.3% | 10.2% | Nemotron 3 Nano 30B leads |
| AA-Omniscience IndexSource | -52.4% | -51.6% | Nemotron 3 Nano 30B leads |
| AA-Omniscience AccuracySource | 14.6% | 17.1% | Nemotron 3 Nano 30B leads |
| AA-Omniscience Hallucination RateSource | 78.3% | 82.9% | Llama 4 Scout leads |
Math1 benchmarks
| Benchmark | Llama 4 Scout | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 0.000% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Llama 4 Scout | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.5% | 71.1% | Nemotron 3 Nano 30B leads |
Frequently Asked Questions (3)
Can I compare Llama 4 Scout and Nemotron 3 Nano 30B 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 Scout and Nemotron 3 Nano 30B today?
Llama 4 Scout: $0.00 input / $0.00 output per 1M tokens Nemotron 3 Nano 30B: $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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