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Model comparison

GLM-4.6 vs GPT-4 Turbo

Data verified

Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.12/100
Margin
27.7pts
← winning
27.44/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.6 #85 (Supported); GPT-4 Turbo #188 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.6 and GPT-4 Turbo share 3 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to GLM-4.6; 1 to GPT-4 Turbo.

Updated July 23, 2026
Shared results
3
GLM-4.6 only
11
GPT-4 Turbo only
1
Comparable categories
0 / 8

Benchmark data for GLM-4.6 and GPT-4 Turbo is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 3 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.

GLM-4.6 has the larger context window at 200K, compared with 128K for GPT-4 Turbo.

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-4 Turbo
CategoryGLM-4.6ΔGPT-4 Turbo
MathGLM-4.63.4MarginNo overlapGPT-4 TurboNot measured

Operational comparison

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

MetricGLM-4.6GPT-4 TurboComparison
Input / output priceUSD per 1M tokensGLM-4.6Not availableGPT-4 Turbo$10 input / $30 outputA complete price comparison is not available.
Generation speedtokens per secondGLM-4.6Not availableGPT-4 Turbo30 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.6Not availableGPT-4 Turbo2.84 sA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.6200KGPT-4 Turbo128KGLM-4.6 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.6GPT-4 TurboResult
τ²-bench resultsSource 76.9%Not comparable
Coding
BenchmarkGLM-4.6GPT-4 TurboResult
Vibe Code BenchSource 3.09%Not comparable
AA-SciCodeSource 33.1%31.9%GLM-4.6 leads
AA Coding IndexSource 21.5%Not comparable
Reasoning
BenchmarkGLM-4.6GPT-4 TurboResult
AA-LCRSource 26.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGLM-4.6GPT-4 TurboResult
Artificial Analysis Intelligence IndexSource 23.0%7.9%GLM-4.6 leads
AA-GPQA DiamondSource 63.2%Not comparable
AA-HLESource 5.2%3.3%GLM-4.6 leads
AA-Omniscience IndexSource -31.6%Not comparable
AA-Omniscience AccuracySource 20.8%Not comparable
AA-Omniscience Hallucination RateSource 66.1%Not comparable
Math
BenchmarkGLM-4.6GPT-4 TurboResult
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
Inst. Following
BenchmarkGLM-4.6GPT-4 TurboResult
AA-IFBenchSource 36.7%Not comparable
Frequently Asked Questions (3)

Can I compare GLM-4.6 and GPT-4 Turbo 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-4 Turbo today?

GPT-4 Turbo: $10.00 input / $30.00 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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