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Model comparison

Claude 4 Sonnet vs GLM-4.6

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.

42.79/100
Margin
12.3pts
winning →
55.12/100
0 category wins0 category wins

Public leaderboard positions: Claude 4 Sonnet #158 (Supported); GLM-4.6 #85 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 4 Sonnet and GLM-4.6 share 11 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Claude 4 Sonnet; 3 to GLM-4.6.

Updated July 23, 2026
Shared results
11
Claude 4 Sonnet only
5
GLM-4.6 only
3
Comparable categories
0 / 8

Benchmark data for Claude 4 Sonnet and GLM-4.6 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.

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 Claude 4 Sonnet and GLM-4.6
CategoryClaude 4 SonnetΔGLM-4.6
CodingClaude 4 Sonnet72.7MarginNo overlapGLM-4.6Not measured
MathClaude 4 SonnetNot measuredMarginNo overlapGLM-4.63.4

Operational comparison

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

MetricClaude 4 SonnetGLM-4.6Comparison
Input / output priceUSD per 1M tokensClaude 4 Sonnet$3 input / $15 outputGLM-4.6Not availableA complete price comparison is not available.
Generation speedtokens per secondClaude 4 Sonnet40 tok/sGLM-4.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude 4 Sonnet1.33 sGLM-4.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude 4 Sonnet200KGLM-4.6200KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude 4 SonnetGLM-4.6Result
τ²-bench resultsSource 52.3%76.9%GLM-4.6 leads
Gert LabsSource 39.66%Not comparable
JobBenchSource 18.4%Not comparable
Coding
BenchmarkClaude 4 SonnetGLM-4.6Result
SWE-bench VerifiedSource 72.7%Not comparable
AA-SciCodeSource 37.3%33.1%Claude 4 Sonnet leads
Vibe Code BenchSource 3.09%Not comparable
Reasoning
BenchmarkClaude 4 SonnetGLM-4.6Result
AA-LCRSource 44.3%26.3%Claude 4 Sonnet leads
CritPtSource 1.1%0.0%Claude 4 Sonnet leads
Knowledge
BenchmarkClaude 4 SonnetGLM-4.6Result
Artificial Analysis Intelligence IndexSource 25.5%23.0%Claude 4 Sonnet leads
AA-GPQA DiamondSource 68.3%63.2%Claude 4 Sonnet leads
AA-HLESource 4.0%5.2%GLM-4.6 leads
AA-Omniscience IndexSource -9.2%-31.6%Claude 4 Sonnet leads
AA-Omniscience AccuracySource 22.4%20.8%Claude 4 Sonnet leads
AA-Omniscience Hallucination RateSource 40.8%66.1%Claude 4 Sonnet leads
Math
BenchmarkClaude 4 SonnetGLM-4.6Result
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
Multimodal
BenchmarkClaude 4 SonnetGLM-4.6Result
AA-MMMU-ProSource 62.4%Not comparable
Design Arena WebsiteSource 1175Not comparable
Inst. Following
BenchmarkClaude 4 SonnetGLM-4.6Result
AA-IFBenchSource 45.4%36.7%Claude 4 Sonnet leads
Frequently Asked Questions (3)

Can I compare Claude 4 Sonnet and GLM-4.6 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 Claude 4 Sonnet and GLM-4.6 today?

Claude 4 Sonnet: $3.00 input / $15.00 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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