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Model comparison

Claude Sonnet 4.6 vs GLM-4.6

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

65.07/100
Margin
9.9pts
← winning
55.12/100
1 category wins0 category wins

Public leaderboard positions: Claude Sonnet 4.6 #32 (Supported); GLM-4.6 #85 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Sonnet 4.6 and GLM-4.6 share 14 comparable benchmark results. 1 of 8 categories are comparable. 19 results are unique to Claude Sonnet 4.6; 0 to GLM-4.6.

Updated July 23, 2026
Shared results
14
Claude Sonnet 4.6 only
19
GLM-4.6 only
0
Comparable categories
1 / 8

Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. GLM-4.6 only becomes the better choice if you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude Sonnet 4.6 is clearly ahead on the BenchAlign aggregate, 65.07 to 55.12. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Sonnet 4.6's sharpest advantage is in mathematics, where it averages 26.4 against 3.4. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 32.400% to 3.819%.

GLM-4.6 is the reasoning model in the pair, while Claude Sonnet 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.

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 Sonnet 4.6 and GLM-4.6
CategoryClaude Sonnet 4.6ΔGLM-4.6
MathClaude Sonnet 4.626.4Margin 23.0GLM-4.63.4
AgenticClaude Sonnet 4.665.2MarginNo overlapGLM-4.6Not measured
CodingClaude Sonnet 4.669.1MarginNo overlapGLM-4.6Not measured
KnowledgeClaude Sonnet 4.666.0MarginNo overlapGLM-4.6Not measured
MultimodalClaude Sonnet 4.677.4MarginNo overlapGLM-4.6Not measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude Sonnet 4.6B · GLM-4.6
  1. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 32.400%B 3.819%
    Winner: Claude Sonnet 4.6Δ 28.6
    FrontierMath v2 (Tiers 1-3): Claude Sonnet 4.6 scored 32.400%; GLM-4.6 scored 3.819%. Claude Sonnet 4.6 wins this benchmark.
  2. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 8.300%B 2.128%
    Winner: Claude Sonnet 4.6Δ 6.2
    FrontierMath v2 (Tier 4): Claude Sonnet 4.6 scored 8.300%; GLM-4.6 scored 2.128%. Claude Sonnet 4.6 wins this benchmark.

Operational comparison

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

MetricClaude Sonnet 4.6GLM-4.6Comparison
Input / output priceUSD per 1M tokensClaude Sonnet 4.6$3 input / $15 outputGLM-4.6Not availableA complete price comparison is not available.
Generation speedtokens per secondClaude Sonnet 4.644 tok/sGLM-4.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Sonnet 4.61.48 sGLM-4.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Sonnet 4.6200KGLM-4.6200KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Sonnet 4.6GLM-4.6Result
Terminal-Bench 2.0Source 59.1%Not comparable
OSWorld-VerifiedSource 72.1%Not comparable
Claw-EvalSource 67.8%Not comparable
CyberGymSource 65.2%Not comparable
τ²-bench resultsSource 79.5%76.9%Claude Sonnet 4.6 leads
Gert LabsSource 62.92%Not comparable
OSWorld 2.0Source 8.3%Not comparable
JobBenchSource 36.9%Not comparable
Coding
BenchmarkClaude Sonnet 4.6GLM-4.6Result
SWE-bench VerifiedSource 79.6%Not comparable
SWE-RebenchSource 60.7%Not comparable
React Native EvalsSource 80.6%Not comparable
Vibe Code BenchSource 51.48%3.09%Claude Sonnet 4.6 leads
cursorBench31Source 48.8%Not comparable
AA-SciCodeSource 46.9%33.1%Claude Sonnet 4.6 leads
FrontierCode 1.1 MainSource 24.3%Not comparable
Reasoning
BenchmarkClaude Sonnet 4.6GLM-4.6Result
AA-LCRSource 57.7%26.3%Claude Sonnet 4.6 leads
CritPtSource 0.9%0.0%Claude Sonnet 4.6 leads
Knowledge
BenchmarkClaude Sonnet 4.6GLM-4.6Result
GPQASource 89.9%Not comparable
SuperGPQASource 95%Not comparable
MMLU-ProSource 79.2%Not comparable
HLESource 49%Not comparable
Artificial Analysis Intelligence IndexSource 35.9%23.0%Claude Sonnet 4.6 leads
AA-GPQA DiamondSource 79.9%63.2%Claude Sonnet 4.6 leads
AA-HLESource 13.2%5.2%Claude Sonnet 4.6 leads
AA-Omniscience IndexSource -2.9%-31.6%Claude Sonnet 4.6 leads
AA-Omniscience AccuracySource 38.0%20.8%Claude Sonnet 4.6 leads
AA-Omniscience Hallucination RateSource 65.9%66.1%Claude Sonnet 4.6 leads
MathClaude Sonnet 4.6 wins
BenchmarkClaude Sonnet 4.6GLM-4.6Result
FrontierMath v2 (Tiers 1-3)Source 32.400%3.819%Claude Sonnet 4.6 leads
FrontierMath v2 (Tier 4)Source 8.300%2.128%Claude Sonnet 4.6 leads
Multimodal
BenchmarkClaude Sonnet 4.6GLM-4.6Result
CharXivSource 77.4%Not comparable
AA-MMMU-ProSource 70.6%Not comparable
Design Arena WebsiteSource 1314Not comparable
Inst. Following
BenchmarkClaude Sonnet 4.6GLM-4.6Result
AA-IFBenchSource 41.2%36.7%Claude Sonnet 4.6 leads
Frequently Asked Questions (2)

Which is better, Claude Sonnet 4.6 or GLM-4.6?

Claude Sonnet 4.6 is ahead on BenchLM's BenchAlign leaderboard, 65.07 to 55.12. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 32.400% and 3.819%.

Which is better for math, Claude Sonnet 4.6 or GLM-4.6?

Claude Sonnet 4.6 has the edge for math in this comparison, averaging 26.4 versus 3.4. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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