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Model comparison

GLM-4.6 vs GPT-5 (medium)

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.

55.12/100
Margin
0.0pts
winning →
55.15/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.6 #85 (Supported); GPT-5 (medium) #84 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.6 and GPT-5 (medium) share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GLM-4.6; 3 to GPT-5 (medium).

Updated July 23, 2026
Shared results
11
GLM-4.6 only
3
GPT-5 (medium) only
3
Comparable categories
0 / 8

Benchmark data for GLM-4.6 and GPT-5 (medium) 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-4.6 has the larger context window at 200K, compared with 128K for GPT-5 (medium).

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 GPT-5 (medium)
CategoryGLM-4.6ΔGPT-5 (medium)
MathGLM-4.63.4MarginNo overlapGPT-5 (medium)Not measured

Operational comparison

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

MetricGLM-4.6GPT-5 (medium)Comparison
Input / output priceUSD per 1M tokensGLM-4.6Not availableGPT-5 (medium)Not availableA complete price comparison is not available.
Generation speedtokens per secondGLM-4.6Not availableGPT-5 (medium)83 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.6Not availableGPT-5 (medium)36.28 sA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.6200KGPT-5 (medium)128KGLM-4.6 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.6GPT-5 (medium)Result
τ²-bench resultsSource 76.9%86.5%GPT-5 (medium) leads
Coding
BenchmarkGLM-4.6GPT-5 (medium)Result
Vibe Code BenchSource 3.09%Not comparable
AA-SciCodeSource 33.1%41.1%GPT-5 (medium) leads
Reasoning
BenchmarkGLM-4.6GPT-5 (medium)Result
AA-LCRSource 26.3%72.8%GPT-5 (medium) leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGLM-4.6GPT-5 (medium)Result
Artificial Analysis Intelligence IndexSource 23.0%33.7%GPT-5 (medium) leads
AA-GPQA DiamondSource 63.2%84.2%GPT-5 (medium) leads
AA-HLESource 5.2%23.5%GPT-5 (medium) leads
AA-Omniscience IndexSource -31.6%-10.1%GPT-5 (medium) leads
AA-Omniscience AccuracySource 20.8%38.9%GPT-5 (medium) leads
AA-Omniscience Hallucination RateSource 66.1%80.1%GLM-4.6 leads
Math
BenchmarkGLM-4.6GPT-5 (medium)Result
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
AA MATH-500Source 99.1%Not comparable
Multimodal
BenchmarkGLM-4.6GPT-5 (medium)Result
AA-MMMU-ProSource 74.3%Not comparable
Design Arena WebsiteSource 1214Not comparable
Inst. Following
BenchmarkGLM-4.6GPT-5 (medium)Result
AA-IFBenchSource 36.7%70.6%GPT-5 (medium) leads
Frequently Asked Questions (3)

Can I compare GLM-4.6 and GPT-5 (medium) 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-4.6 and GPT-5 (medium) today?

GPT-5 (medium): Pricing unavailable 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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