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Model comparison

GLM-4.6 vs Qwen3 Max

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.12/100
Margin
7.0pts
← winning
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.6 #85 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.6 and Qwen3 Max share 12 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to GLM-4.6; 2 to Qwen3 Max.

Updated July 23, 2026
Shared results
12
GLM-4.6 only
2
Qwen3 Max only
2
Comparable categories
0 / 8

Benchmark data for GLM-4.6 and Qwen3 Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 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.

Qwen3 Max has the larger context window at 1M, compared with 200K for GLM-4.6.

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 GLM-4.6 and Qwen3 Max
CategoryGLM-4.6ΔQwen3 Max
MathGLM-4.63.4MarginNo overlapQwen3 MaxNot measured

Operational comparison

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

MetricGLM-4.6Qwen3 MaxComparison
Input / output priceUSD per 1M tokensGLM-4.6Not availableQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGLM-4.6Not availableQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.6Not availableQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.6200KQwen3 Max1MQwen3 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.6Qwen3 MaxResult
τ²-bench resultsSource 76.9%74.3%GLM-4.6 leads
Gert LabsSource 43.74%Not comparable
Coding
BenchmarkGLM-4.6Qwen3 MaxResult
Vibe Code BenchSource 3.09%3.51%Qwen3 Max leads
AA-SciCodeSource 33.1%38.3%Qwen3 Max leads
Reasoning
BenchmarkGLM-4.6Qwen3 MaxResult
AA-LCRSource 26.3%46.7%Qwen3 Max leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGLM-4.6Qwen3 MaxResult
Artificial Analysis Intelligence IndexSource 23.0%24.0%Qwen3 Max leads
AA-GPQA DiamondSource 63.2%76.4%Qwen3 Max leads
AA-HLESource 5.2%11.1%Qwen3 Max leads
AA-Omniscience IndexSource -31.6%-43.1%GLM-4.6 leads
AA-Omniscience AccuracySource 20.8%24.4%Qwen3 Max leads
AA-Omniscience Hallucination RateSource 66.1%89.4%GLM-4.6 leads
Math
BenchmarkGLM-4.6Qwen3 MaxResult
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
Multimodal
BenchmarkGLM-4.6Qwen3 MaxResult
Design Arena WebsiteSource 1148Not comparable
Inst. Following
BenchmarkGLM-4.6Qwen3 MaxResult
AA-IFBenchSource 36.7%44.1%Qwen3 Max leads
Frequently Asked Questions (2)

Can I compare GLM-4.6 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.

Related Comparisons

Last updated: July 23, 2026

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