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Model comparison

Claude Opus 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.

68.59/100
Margin
13.5pts
← winning
55.12/100
1 category wins0 category wins

Public leaderboard positions: Claude Opus 4.6 #16 (Supported); GLM-4.6 #85 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 and GLM-4.6 share 14 comparable benchmark results. 1 of 8 categories are comparable. 32 results are unique to Claude Opus 4.6; 0 to GLM-4.6.

Updated July 23, 2026
Shared results
14
Claude Opus 4.6 only
32
GLM-4.6 only
0
Comparable categories
1 / 8

Pick Claude Opus 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 Opus 4.6 is clearly ahead on the BenchAlign aggregate, 68.59 to 55.12. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 4.6's sharpest advantage is in mathematics, where it averages 36.3 against 3.4. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 40.700% to 3.819%.

GLM-4.6 is the reasoning model in the pair, while Claude Opus 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. Claude Opus 4.6 gives you the larger context window at 1M, compared with 200K for GLM-4.6.

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 Opus 4.6 and GLM-4.6
CategoryClaude Opus 4.6ΔGLM-4.6
MathClaude Opus 4.636.3Margin← 32.9GLM-4.63.4
AgenticClaude Opus 4.673.0MarginNo overlapGLM-4.6Not measured
CodingClaude Opus 4.668.1MarginNo overlapGLM-4.6Not measured
KnowledgeClaude Opus 4.669.1MarginNo overlapGLM-4.6Not measured
MultimodalClaude Opus 4.677.3MarginNo overlapGLM-4.6Not measured

Decisive benchmark drivers

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

More
A · Claude Opus 4.6B · GLM-4.6

  1. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 40.700%B 3.819%
    Winner: Claude Opus 4.6Δ 36.9
    FrontierMath v2 (Tiers 1-3): Claude Opus 4.6 scored 40.700%; GLM-4.6 scored 3.819%. Claude Opus 4.6 wins this benchmark.

  2. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 22.900%B 2.128%
    Winner: Claude Opus 4.6Δ 20.8
    FrontierMath v2 (Tier 4): Claude Opus 4.6 scored 22.900%; GLM-4.6 scored 2.128%. Claude Opus 4.6 wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.6GLM-4.6Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.6$5 input / $25 outputGLM-4.6Not availableA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.640 tok/sGLM-4.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.61.78 sGLM-4.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.61MGLM-4.6200KClaude Opus 4.6 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.6GLM-4.6Result
Terminal-Bench 2.0Source 65.4%—Not comparable
BrowseCompSource 83.7%—Not comparable
OSWorld-VerifiedSource 72.7%—Not comparable
τ²-bench resultsSource 84.8%76.9%Claude Opus 4.6 leads
Claw-EvalSource 70.4%—Not comparable
DeepSearchQASource 73.7%—Not comparable
CyberGymSource 66.6%—Not comparable
Gert LabsSource 61.85%—Not comparable
ResearchClawBenchSource 19.9%—Not comparable
JobBenchSource 36.7%—Not comparable
Coding
BenchmarkClaude Opus 4.6GLM-4.6Result
SWE-bench VerifiedSource 80.8%—Not comparable
SWE-bench Verified*Source 75.6%—Not comparable
LiveCodeBench ProSource 70.7%—Not comparable
SWE-bench ProSource 53.4%—Not comparable
SWE-RebenchSource 65.3%—Not comparable
React Native EvalsSource 84.1%—Not comparable
Vibe Code BenchSource 57.57%3.09%Claude Opus 4.6 leads
AA-SciCodeSource 45.7%33.1%Claude Opus 4.6 leads
FrontierCode 1.1 MainSource 26.9%—Not comparable
Reasoning
BenchmarkClaude Opus 4.6GLM-4.6Result
AA-LCRSource 58.3%26.3%Claude Opus 4.6 leads
CritPtSource 2.8%0.0%Claude Opus 4.6 leads
Knowledge
BenchmarkClaude Opus 4.6GLM-4.6Result
GPQASource 91.3%—Not comparable
GPQA-DSource 89.2%—Not comparable
SuperGPQASource 95%—Not comparable
MMLU-ProSource 82%—Not comparable
MMLU-Pro (Arcee)Source 89.1%—Not comparable
HLESource 53%—Not comparable
HLE w/o toolsSource 40%—Not comparable
HealthBench HardSource 14.8%—Not comparable
MedXpertQA (Text)Source 52.1%—Not comparable
Artificial Analysis Intelligence IndexSource 37.8%23.0%Claude Opus 4.6 leads
AA-GPQA DiamondSource 84.0%63.2%Claude Opus 4.6 leads
AA-HLESource 18.6%5.2%Claude Opus 4.6 leads
AA-Omniscience IndexSource 3.5%-31.6%Claude Opus 4.6 leads
AA-Omniscience AccuracySource 45.2%20.8%Claude Opus 4.6 leads
AA-Omniscience Hallucination RateSource 76.0%66.1%GLM-4.6 leads
MathClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6GLM-4.6Result
AIME25 (Arcee)Source 99.8%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%3.819%Claude Opus 4.6 leads
FrontierMath v2 (Tier 4)Source 22.900%2.128%Claude Opus 4.6 leads
Multimodal
BenchmarkClaude Opus 4.6GLM-4.6Result
MMMU-ProSource 77.3%—Not comparable
ERQASource 51.6%—Not comparable
ScreenSpot ProSource 83.1%—Not comparable
MedXpertQA (MM)Source 64.8%—Not comparable
AA-MMMU-ProSource 72.5%—Not comparable
Design Arena WebsiteSource 1325—Not comparable
Inst. Following
BenchmarkClaude Opus 4.6GLM-4.6Result
AA-IFBenchSource 44.6%36.7%Claude Opus 4.6 leads
Frequently Asked Questions (2)

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

Claude Opus 4.6 is ahead on BenchLM's BenchAlign leaderboard, 68.59 to 55.12. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 40.700% and 3.819%.

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

Claude Opus 4.6 has the edge for math in this comparison, averaging 36.3 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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