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Model comparison

Llama 4 Maverick 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.

23.49/100
Margin
24.7pts
winning →
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: Llama 4 Maverick #191 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

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

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

Benchmark data for Llama 4 Maverick 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.

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 scores and score margins for Llama 4 Maverick and Qwen3 Max
CategoryLlama 4 MaverickΔQwen3 Max
MathLlama 4 Maverick0.7MarginNo overlapQwen3 MaxNot measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricLlama 4 MaverickQwen3 MaxComparison
Input / output priceUSD per 1M tokensLlama 4 Maverick$0 input / $0 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondLlama 4 Maverick121 tok/sQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLlama 4 Maverick0.95 sQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLlama 4 Maverick1MQwen3 Max1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkLlama 4 MaverickQwen3 MaxResult
AA Agentic IndexSource 1.3%Not comparable
τ²-bench resultsSource 17.8%74.3%Qwen3 Max leads
GDPval-AASource 0.0%Not comparable
GDPval-AASource -16Not comparable
Gert LabsSource 43.74%Not comparable
Coding
BenchmarkLlama 4 MaverickQwen3 MaxResult
AA Coding IndexSource 16.3%Not comparable
AA-SciCodeSource 33.1%38.3%Qwen3 Max leads
Vibe Code BenchSource 3.51%Not comparable
Reasoning
BenchmarkLlama 4 MaverickQwen3 MaxResult
AA-LCRSource 46.0%46.7%Qwen3 Max leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkLlama 4 MaverickQwen3 MaxResult
Artificial Analysis Intelligence IndexSource 14.3%24.0%Qwen3 Max leads
AA-GPQA DiamondSource 67.1%76.4%Qwen3 Max leads
AA-HLESource 4.8%11.1%Qwen3 Max leads
AA-Omniscience IndexSource -41.8%-43.1%Llama 4 Maverick leads
AA-Omniscience AccuracySource 24.3%24.4%Qwen3 Max leads
AA-Omniscience Hallucination RateSource 87.3%89.4%Llama 4 Maverick leads
Math
BenchmarkLlama 4 MaverickQwen3 MaxResult
FrontierMath v2 (Tiers 1-3)Source 0.690%Not comparable
Multimodal
BenchmarkLlama 4 MaverickQwen3 MaxResult
AA-MMMU-ProSource 62.1%Not comparable
Design Arena WebsiteSource 9011148Qwen3 Max leads
Inst. Following
BenchmarkLlama 4 MaverickQwen3 MaxResult
AA-IFBenchSource 43.0%44.1%Qwen3 Max leads
Frequently Asked Questions (3)

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

Llama 4 Maverick: $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 Maverick
API / mo$0
Self-host / mo$2,610
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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