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Model comparison

GLM-5-Turbo vs Qwen3.5 397B (Reasoning)

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

66.89/100
Margin
7.4pts
← winning
59.5/100
0 category wins0 category wins

Public leaderboard positions: GLM-5-Turbo #24 (Supported); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-5-Turbo and Qwen3.5 397B (Reasoning) share 11 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to GLM-5-Turbo; 6 to Qwen3.5 397B (Reasoning).

Updated July 23, 2026
Shared results
11
GLM-5-Turbo only
2
Qwen3.5 397B (Reasoning) only
6
Comparable categories
0 / 8

Benchmark data for GLM-5-Turbo and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 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.

GLM-5-Turbo is priced at $1.20 input / $4.00 output per 1M tokens, versus $0.60 input / $3.60 output per 1M tokens for Qwen3.5 397B (Reasoning). GLM-5-Turbo has the larger context window at 200K, compared with 128K for Qwen3.5 397B (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-TurboQwen3.5 397B (Reasoning)Comparison
Input / output priceUSD per 1M tokensGLM-5-Turbo$1.2 input / $4 outputQwen3.5 397B (Reasoning)$0.6 input / $3.6 outputQwen3.5 397B (Reasoning) has the lower combined listed price.
Generation speedtokens per secondGLM-5-TurboNot availableQwen3.5 397B (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-5-TurboNot availableQwen3.5 397B (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-5-Turbo200KQwen3.5 397B (Reasoning)128KGLM-5-Turbo lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-5-TurboQwen3.5 397B (Reasoning)Result
Claw-EvalSource 55.8%Not comparable
τ²-bench resultsSource 98.5%95.6%GLM-5-Turbo leads
AA Agentic IndexSource 19.9%Not comparable
APEX-Agents-AASource 15.3%Not comparable
GDPval-AASource 23.1%Not comparable
GDPval-AASource 962Not comparable
Coding
BenchmarkGLM-5-TurboQwen3.5 397B (Reasoning)Result
AA-SciCodeSource 43.6%42.0%GLM-5-Turbo leads
AA Coding IndexSource 48.2%Not comparable
Reasoning
BenchmarkGLM-5-TurboQwen3.5 397B (Reasoning)Result
AA-LCRSource 60.7%65.7%Qwen3.5 397B (Reasoning) leads
CritPtSource 0.3%1.7%Qwen3.5 397B (Reasoning) leads
Knowledge
BenchmarkGLM-5-TurboQwen3.5 397B (Reasoning)Result
Artificial Analysis Intelligence IndexSource 38.1%33.7%GLM-5-Turbo leads
AA-GPQA DiamondSource 84.7%89.3%Qwen3.5 397B (Reasoning) leads
AA-HLESource 25.4%27.3%Qwen3.5 397B (Reasoning) leads
AA-Omniscience IndexSource -15.1%-29.8%GLM-5-Turbo leads
AA-Omniscience AccuracySource 29.0%31.4%Qwen3.5 397B (Reasoning) leads
AA-Omniscience Hallucination RateSource 62.2%89.1%GLM-5-Turbo leads
Multimodal
BenchmarkGLM-5-TurboQwen3.5 397B (Reasoning)Result
Design Arena WebsiteSource 1301Not comparable
AA-MMMU-ProSource 77.3%Not comparable
Inst. Following
BenchmarkGLM-5-TurboQwen3.5 397B (Reasoning)Result
AA-IFBenchSource 73.2%78.8%Qwen3.5 397B (Reasoning) leads
Frequently Asked Questions (3)

Can I compare GLM-5-Turbo and Qwen3.5 397B (Reasoning) 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-Turbo and Qwen3.5 397B (Reasoning) today?

GLM-5-Turbo: $1.20 input / $4.00 output per 1M tokens Qwen3.5 397B (Reasoning): $0.60 input / $3.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 23, 2026

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