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Model comparison

GLM-4.7 vs GLM-5-Turbo

Data verified

Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use BenchLM's provisional ranking lane.

62/100
Margin
43.0pts
← winning
19/100
0 category wins0 category wins

Verified leaderboard positions: GLM-4.7 #32; GLM-5-Turbo unranked

Evidence parity. GLM-4.7 and GLM-5-Turbo share 13 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to GLM-4.7; 1 to GLM-5-Turbo.

Updated July 14, 2026
Shared results
13
GLM-4.7 only
18
GLM-5-Turbo only
1
Comparable categories
0 / 8

Benchmark data for GLM-4.7 and GLM-5-Turbo is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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 $0.00 input / $0.00 output per 1M tokens for GLM-4.7.

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-4.7 and GLM-5-Turbo
CategoryGLM-4.7ΔGLM-5-Turbo
AgenticGLM-4.745.7MarginNo overlapGLM-5-TurboNot measured
CodingGLM-4.773.8MarginNo overlapGLM-5-TurboNot measured
KnowledgeGLM-4.752.1MarginNo overlapGLM-5-TurboNot measured
MathGLM-4.71.8MarginNo overlapGLM-5-TurboNot measured

Operational comparison

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

MetricGLM-4.7GLM-5-TurboComparison
Input / output priceUSD per 1M tokensGLM-4.7$0 input / $0 outputGLM-5-Turbo$1.2 input / $4 outputGLM-4.7 has the lower combined listed price.
Generation speedtokens per secondGLM-4.782 tok/sGLM-5-TurboNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.71.10 sGLM-5-TurboNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.7200KGLM-5-Turbo200KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.7GLM-5-TurboResult
Terminal-Bench 2.0Source 41%Not comparable
BrowseCompSource 52%Not comparable
VITA-BenchSource 15.5%Not comparable
AA Agentic IndexSource 25.4%Not comparable
Tau2-TelecomSource 95.9%98.5%GLM-5-Turbo leads
Gert LabsSource 39.95%Not comparable
GDPval-AASource 33.3%Not comparable
GDPval-AASource 1165Not comparable
Claw-EvalSource 55.8%Not comparable
Coding
BenchmarkGLM-4.7GLM-5-TurboResult
SWE-bench VerifiedSource 73.8%Not comparable
LiveCodeBenchSource 84.9%Not comparable
SWE-RebenchSource 58.7%Not comparable
AA Coding IndexSource 45.3%Not comparable
Terminal-Bench HardSource 31.8%33.3%GLM-5-Turbo leads
AA-SciCodeSource 45.1%43.6%GLM-4.7 leads
AA LiveCodeBenchSource 89.4%Not comparable
Reasoning
BenchmarkGLM-4.7GLM-5-TurboResult
AA-LCRSource 64.0%60.7%GLM-4.7 leads
CritPtSource 1.7%0.3%GLM-4.7 leads
Knowledge
BenchmarkGLM-4.7GLM-5-TurboResult
GPQASource 85.7%Not comparable
MMLU-ProSource 84.3%Not comparable
HLESource 24.8%Not comparable
Artificial Analysis Intelligence IndexSource 33.7%38.1%GLM-5-Turbo leads
AA-GPQA DiamondSource 85.9%84.7%GLM-4.7 leads
AA-HLESource 25.1%25.4%GLM-5-Turbo leads
AA-Omniscience IndexSource -34.6%-15.1%GLM-5-Turbo leads
AA-Omniscience AccuracySource 29.3%29.0%GLM-4.7 leads
AA-Omniscience Hallucination RateSource 90.3%62.2%GLM-5-Turbo leads
Math
BenchmarkGLM-4.7GLM-5-TurboResult
AIME 2025Source 95.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 2.439%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkGLM-4.7GLM-5-TurboResult
Design Arena WebsiteSource 12601306GLM-5-Turbo leads
Inst. Following
BenchmarkGLM-4.7GLM-5-TurboResult
AA-IFBenchSource 67.9%73.2%GLM-5-Turbo leads
Frequently Asked Questions (3)

Can I compare GLM-4.7 and GLM-5-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-4.7 and GLM-5-Turbo today?

GLM-4.7: $0.00 input / $0.00 output per 1M tokens GLM-5-Turbo: $1.20 input / $4.00 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 14, 2026

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