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Model comparison

Claude Opus 4.5 Thinking vs GLM-4.6

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.44/100
Margin
2.3pts
← winning
55.12/100
0 category wins0 category wins

Public leaderboard positions: Claude Opus 4.5 Thinking #69 (Estimated); GLM-4.6 #85 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.5 Thinking and GLM-4.6 share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Claude Opus 4.5 Thinking; 2 to GLM-4.6.

Updated July 23, 2026
Shared results
12
Claude Opus 4.5 Thinking only
4
GLM-4.6 only
2
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.5 Thinking and GLM-4.6 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 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 Opus 4.5 Thinking and GLM-4.6
CategoryClaude Opus 4.5 ThinkingΔGLM-4.6
MathClaude Opus 4.5 ThinkingNot measuredMarginNo overlapGLM-4.63.4

Operational comparison

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

MetricClaude Opus 4.5 ThinkingGLM-4.6Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.5 ThinkingNot availableGLM-4.6Not availableA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.5 ThinkingNot availableGLM-4.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.5 ThinkingNot availableGLM-4.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.5 Thinking200KGLM-4.6200KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.5 ThinkingGLM-4.6Result
τ²-bench resultsSource 89.5%76.9%Claude Opus 4.5 Thinking leads
Coding
BenchmarkClaude Opus 4.5 ThinkingGLM-4.6Result
Vibe Code BenchSource 20.63%3.09%Claude Opus 4.5 Thinking leads
AA-SciCodeSource 49.5%33.1%Claude Opus 4.5 Thinking leads
Reasoning
BenchmarkClaude Opus 4.5 ThinkingGLM-4.6Result
AA-LCRSource 74.0%26.3%Claude Opus 4.5 Thinking leads
CritPtSource 4.6%0.0%Claude Opus 4.5 Thinking leads
Knowledge
BenchmarkClaude Opus 4.5 ThinkingGLM-4.6Result
Artificial Analysis Intelligence IndexSource 40.8%23.0%Claude Opus 4.5 Thinking leads
AA-GPQA DiamondSource 86.6%63.2%Claude Opus 4.5 Thinking leads
AA-HLESource 28.4%5.2%Claude Opus 4.5 Thinking leads
AA-Omniscience IndexSource 13.3%-31.6%Claude Opus 4.5 Thinking leads
AA-Omniscience AccuracySource 45.7%20.8%Claude Opus 4.5 Thinking leads
AA-Omniscience Hallucination RateSource 59.8%66.1%Claude Opus 4.5 Thinking leads
AA MMLU-ProSource 89.5%Not comparable
Math
BenchmarkClaude Opus 4.5 ThinkingGLM-4.6Result
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
Multilingual
BenchmarkClaude Opus 4.5 ThinkingGLM-4.6Result
AA Global-MMLU-LiteSource 91.3%Not comparable
Multimodal
BenchmarkClaude Opus 4.5 ThinkingGLM-4.6Result
AA-MMMU-ProSource 74.0%Not comparable
Design Arena WebsiteSource 1277Not comparable
Inst. Following
BenchmarkClaude Opus 4.5 ThinkingGLM-4.6Result
AA-IFBenchSource 58.0%36.7%Claude Opus 4.5 Thinking leads
Frequently Asked Questions (2)

Can I compare Claude Opus 4.5 Thinking 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.

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Last updated: July 23, 2026

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