Model comparison
Llama 4 Scout vs Nemotron 3 Ultra
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Llama 4 Scout unranked; Nemotron 3 Ultra #24
BenchAlign evidence: Llama 4 Scout supported; Nemotron 3 Ultra not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Scout and Nemotron 3 Ultra share 17 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Llama 4 Scout; 22 to Nemotron 3 Ultra.
Updated July 16, 2026- Shared results
- 17
- Llama 4 Scout only
- 2
- Nemotron 3 Ultra only
- 22
- Comparable categories
- 0 / 8
Benchmark data for Llama 4 Scout and Nemotron 3 Ultra is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 17 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 Scout has the larger context window at 10M, compared with 1M for Nemotron 3 Ultra.
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 Scout | Δ | Nemotron 3 Ultra |
|---|---|---|---|
| Agentic | Llama 4 ScoutNot measured | MarginNo overlap | Nemotron 3 Ultra51.3 |
| Coding | Llama 4 ScoutNot measured | MarginNo overlap | Nemotron 3 Ultra58.3 |
| Reasoning | Llama 4 ScoutNot measured | MarginNo overlap | Nemotron 3 Ultra61.9 |
| Knowledge | Llama 4 ScoutNot measured | MarginNo overlap | Nemotron 3 Ultra54.2 |
| Multilingual | Llama 4 ScoutNot measured | MarginNo overlap | Nemotron 3 Ultra83.0 |
| Inst. Following | Llama 4 ScoutNot measured | MarginNo overlap | Nemotron 3 Ultra81.7 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Llama 4 Scout | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Scout$0 input / $0 output | Nemotron 3 Ultra$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Llama 4 Scout128 tok/s | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Llama 4 Scout0.70 s | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Llama 4 Scout10M | Nemotron 3 Ultra1M | Llama 4 Scout lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Result |
|---|---|---|---|
| AA Agentic IndexSource | 1.1% | 27.4% | Nemotron 3 Ultra leads |
| τ²-bench resultsSource | 15.5% | 83.3% | Nemotron 3 Ultra leads |
| GDPval-AASource | 0.0% | 33.2% | Nemotron 3 Ultra leads |
| GDPval-AASource | 90 | 1164 | Nemotron 3 Ultra leads |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
| PinchBenchSource | — | 90.0% | Not comparable |
| BrowseCompSource | — | 44.4% | Not comparable |
| τ³-bench resultsSource | — | 70.9% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA BriefcaseSource | — | 870 | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
| AA Harvey LABSource | — | 3.3% | Not comparable |
Coding8 benchmarks
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Result |
|---|---|---|---|
| AA Coding IndexSource | 8.2% | 49.3% | Nemotron 3 Ultra leads |
| Terminal-Bench HardSource | 1.5% | 36.4% | Nemotron 3 Ultra leads |
| AA-SciCodeSource | 17.0% | 39.9% | Nemotron 3 Ultra leads |
| SWE-bench VerifiedSource | — | 71.9% | Not comparable |
| SWE MultilingualSource | — | 67.7% | Not comparable |
| LiveCodeBench v6Source | — | 89.0% | Not comparable |
| SciCodeSource | — | 44.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
Reasoning3 benchmarks
Knowledge12 benchmarks
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 10.0% | 37.8% | Nemotron 3 Ultra leads |
| AA-GPQA DiamondSource | 58.7% | 86.7% | Nemotron 3 Ultra leads |
| AA-HLESource | 4.3% | 26.6% | Nemotron 3 Ultra leads |
| AA-Omniscience IndexSource | -52.4% | -0.8% | Nemotron 3 Ultra leads |
| AA-Omniscience AccuracySource | 14.6% | 21.6% | Nemotron 3 Ultra leads |
| AA-Omniscience Hallucination RateSource | 78.3% | 28.5% | Nemotron 3 Ultra leads |
| GPQASource | — | 87% | Not comparable |
| GPQA-DSource | — | 87.0% | Not comparable |
| HLESource | — | 26.7% | Not comparable |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| MMLU-ProSource | — | 86.8% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Math1 benchmarks
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 0.000% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | Llama 4 Scout | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 83% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Llama 4 Scout and Nemotron 3 Ultra 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 Ultra today?
Llama 4 Scout: $0.00 input / $0.00 output per 1M tokens Nemotron 3 Ultra: $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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