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Model comparison

GLM-5 (Reasoning) vs Qwen3 Max

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

59.77/100
Margin
11.6pts
← winning
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: GLM-5 (Reasoning) #52 (Estimated); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-5 (Reasoning) and Qwen3 Max share 2 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GLM-5 (Reasoning); 12 to Qwen3 Max.

Updated July 23, 2026
Shared results
2
GLM-5 (Reasoning) only
0
Qwen3 Max only
12
Comparable categories
0 / 8

Benchmark data for GLM-5 (Reasoning) and Qwen3 Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 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-5 (Reasoning).

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.

MetricGLM-5 (Reasoning)Qwen3 MaxComparison
Input / output priceUSD per 1M tokensGLM-5 (Reasoning)$1 input / $3.2 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGLM-5 (Reasoning)Not availableQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-5 (Reasoning)Not availableQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-5 (Reasoning)200KQwen3 Max1MQwen3 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-5 (Reasoning)Qwen3 MaxResult
τ²-bench resultsSource 74.3%Not comparable
Gert LabsSource 43.74%Not comparable
Coding
BenchmarkGLM-5 (Reasoning)Qwen3 MaxResult
Vibe Code BenchSource 23.36%3.51%GLM-5 (Reasoning) leads
AA-SciCodeSource 38.3%Not comparable
Reasoning
BenchmarkGLM-5 (Reasoning)Qwen3 MaxResult
AA-LCRSource 46.7%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGLM-5 (Reasoning)Qwen3 MaxResult
Artificial Analysis Intelligence IndexSource 24.0%Not comparable
AA-GPQA DiamondSource 76.4%Not comparable
AA-HLESource 11.1%Not comparable
AA-Omniscience IndexSource -43.1%Not comparable
AA-Omniscience AccuracySource 24.4%Not comparable
AA-Omniscience Hallucination RateSource 89.4%Not comparable
Multimodal
BenchmarkGLM-5 (Reasoning)Qwen3 MaxResult
Design Arena WebsiteSource 12781148GLM-5 (Reasoning) leads
Inst. Following
BenchmarkGLM-5 (Reasoning)Qwen3 MaxResult
AA-IFBenchSource 44.1%Not comparable
Frequently Asked Questions (3)

Can I compare GLM-5 (Reasoning) 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 GLM-5 (Reasoning) and Qwen3 Max today?

GLM-5 (Reasoning): $1.00 input / $3.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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