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Model comparison

GLM-4.6 vs Trinity-Large-Preview

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.

55.12/100
Margin
0.8pts
winning →
55.94/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.6 #85 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.6 and Trinity-Large-Preview share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GLM-4.6; 7 to Trinity-Large-Preview.

Updated July 23, 2026
Shared results
11
GLM-4.6 only
3
Trinity-Large-Preview only
7
Comparable categories
0 / 8

Benchmark data for GLM-4.6 and Trinity-Large-Preview 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.

Trinity-Large-Preview has the larger context window at 512K, 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 GLM-4.6 and Trinity-Large-Preview
CategoryGLM-4.6ΔTrinity-Large-Preview
MathGLM-4.63.4MarginNo overlapTrinity-Large-PreviewNot measured

Operational comparison

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

MetricGLM-4.6Trinity-Large-PreviewComparison
Input / output priceUSD per 1M tokensGLM-4.6Not availableTrinity-Large-Preview$0.25 input / $1 outputA complete price comparison is not available.
Generation speedtokens per secondGLM-4.6Not availableTrinity-Large-PreviewNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.6Not availableTrinity-Large-PreviewNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.6200KTrinity-Large-Preview512KTrinity-Large-Preview lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.6Trinity-Large-PreviewResult
τ²-bench resultsSource 76.9%90.1%Trinity-Large-Preview leads
GDPval-AASource 2.7%Not comparable
GDPval-AASource 554Not comparable
Coding
BenchmarkGLM-4.6Trinity-Large-PreviewResult
Vibe Code BenchSource 3.09%Not comparable
AA-SciCodeSource 33.1%36.1%Trinity-Large-Preview leads
Reasoning
BenchmarkGLM-4.6Trinity-Large-PreviewResult
AA-LCRSource 26.3%33.0%Trinity-Large-Preview leads
CritPtSource 0.0%0.9%Trinity-Large-Preview leads
Knowledge
BenchmarkGLM-4.6Trinity-Large-PreviewResult
Artificial Analysis Intelligence IndexSource 23.0%24.5%Trinity-Large-Preview leads
AA-GPQA DiamondSource 63.2%75.2%Trinity-Large-Preview leads
AA-HLESource 5.2%14.7%Trinity-Large-Preview leads
AA-Omniscience IndexSource -31.6%-44.2%GLM-4.6 leads
AA-Omniscience AccuracySource 20.8%22.8%Trinity-Large-Preview leads
AA-Omniscience Hallucination RateSource 66.1%86.6%GLM-4.6 leads
MMLUSource 87.2%Not comparable
MMLU-Pro (Arcee)Source 75.2%Not comparable
GPQA-DSource 63.3%Not comparable
Math
BenchmarkGLM-4.6Trinity-Large-PreviewResult
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
AIME25 (Arcee)Source 24.0%Not comparable
Multimodal
BenchmarkGLM-4.6Trinity-Large-PreviewResult
Design Arena WebsiteSource 1165Not comparable
Inst. Following
BenchmarkGLM-4.6Trinity-Large-PreviewResult
AA-IFBenchSource 36.7%56.3%Trinity-Large-Preview leads
Frequently Asked Questions (3)

Can I compare GLM-4.6 and Trinity-Large-Preview 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-4.6 and Trinity-Large-Preview today?

Trinity-Large-Preview: $0.25 input / $1.00 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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