Model comparison
Llama 4 Scout vs Nova Pro
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Llama 4 Scout #174 (Supported); Nova Pro #196 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Scout and Nova Pro share 12 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Llama 4 Scout; 0 to Nova Pro.
Updated July 20, 2026- Shared results
- 12
- Llama 4 Scout only
- 6
- Nova Pro only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Llama 4 Scout and Nova Pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 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 128K for Nova Pro.
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 | Nova Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Scout$0 input / $0 output | Nova ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Llama 4 Scout128 tok/s | Nova Pro141 tok/s | Nova Pro has the higher measured throughput. |
| First-answer latencyseconds to first token | Llama 4 Scout0.70 s | Nova Pro0.81 s | Llama 4 Scout reaches the first token sooner. |
| Context windowmaximum listed tokens | Llama 4 Scout10M | Nova Pro128K | Llama 4 Scout lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Llama 4 Scout | Nova Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 10.0% | 7.7% | Llama 4 Scout leads |
| AA-GPQA DiamondSource | 58.7% | 49.9% | Llama 4 Scout leads |
| AA-HLESource | 4.3% | 3.4% | Llama 4 Scout leads |
| AA-Omniscience IndexSource | -52.4% | -47.6% | Nova Pro leads |
| AA-Omniscience AccuracySource | 14.6% | 17.0% | Nova Pro leads |
| AA-Omniscience Hallucination RateSource | 78.3% | 77.9% | Nova Pro leads |
Math1 benchmarks
| Benchmark | Llama 4 Scout | Nova Pro | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 0.000% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Llama 4 Scout | Nova Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.5% | 38.1% | Llama 4 Scout leads |
Frequently Asked Questions (3)
Can I compare Llama 4 Scout and Nova Pro 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 Nova Pro today?
Llama 4 Scout: $0.00 input / $0.00 output per 1M tokens Nova Pro: Pricing unavailable 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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