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Model comparison

Llama 4 Scout vs Qwen3 Max

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

39.87/100
Margin
8.3pts
winning →
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: Llama 4 Scout #174 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Llama 4 Scout and Qwen3 Max share 12 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Llama 4 Scout; 2 to Qwen3 Max.

Updated July 23, 2026
Shared results
12
Llama 4 Scout only
6
Qwen3 Max only
2
Comparable categories
0 / 8

Benchmark data for Llama 4 Scout and Qwen3 Max 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 1M for Qwen3 Max.

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.

MetricLlama 4 ScoutQwen3 MaxComparison
Input / output priceUSD per 1M tokensLlama 4 Scout$0 input / $0 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondLlama 4 Scout128 tok/sQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLlama 4 Scout0.70 sQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLlama 4 Scout10MQwen3 Max1MLlama 4 Scout lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLlama 4 ScoutQwen3 MaxResult
AA Agentic IndexSource 1.1%Not comparable
τ²-bench resultsSource 15.5%74.3%Qwen3 Max leads
GDPval-AASource 0.0%Not comparable
GDPval-AASource 90Not comparable
Gert LabsSource 43.74%Not comparable
Coding
BenchmarkLlama 4 ScoutQwen3 MaxResult
AA Coding IndexSource 8.2%Not comparable
AA-SciCodeSource 17.0%38.3%Qwen3 Max leads
Vibe Code BenchSource 3.51%Not comparable
Reasoning
BenchmarkLlama 4 ScoutQwen3 MaxResult
AA-LCRSource 25.8%46.7%Qwen3 Max leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkLlama 4 ScoutQwen3 MaxResult
Artificial Analysis Intelligence IndexSource 10.0%24.0%Qwen3 Max leads
AA-GPQA DiamondSource 58.7%76.4%Qwen3 Max leads
AA-HLESource 4.3%11.1%Qwen3 Max leads
AA-Omniscience IndexSource -52.4%-43.1%Qwen3 Max leads
AA-Omniscience AccuracySource 14.6%24.4%Qwen3 Max leads
AA-Omniscience Hallucination RateSource 78.3%89.4%Llama 4 Scout leads
Math
BenchmarkLlama 4 ScoutQwen3 MaxResult
FrontierMath v2 (Tiers 1-3)Source 0.000%Not comparable
Multimodal
BenchmarkLlama 4 ScoutQwen3 MaxResult
AA-MMMU-ProSource 52.9%Not comparable
Design Arena WebsiteSource 7801148Qwen3 Max leads
Inst. Following
BenchmarkLlama 4 ScoutQwen3 MaxResult
AA-IFBenchSource 39.5%44.1%Qwen3 Max leads
Frequently Asked Questions (3)

Can I compare Llama 4 Scout and Qwen3 Max 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 Qwen3 Max today?

Llama 4 Scout: $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.

Llama 4 Scout
API / mo$0
Self-host / mo$2,278
Break-even
Qwen3 Max
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

Related Comparisons

Last updated: July 23, 2026

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