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Model comparison

Gemini 3 Pro Deep Think vs GLM-5

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

61.31/100
Margin
4.8pts
winning →
Z.AI
66.06/100
0 category wins1 category wins

Public leaderboard positions: Gemini 3 Pro Deep Think #41 (Estimated); GLM-5 #28 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3 Pro Deep Think and GLM-5 share 1 comparable benchmark result. 1 of 8 categories are comparable. 1 result is unique to Gemini 3 Pro Deep Think; 48 to GLM-5.

Updated July 20, 2026
Shared results
1
Gemini 3 Pro Deep Think only
1
GLM-5 only
48
Comparable categories
1 / 8

Pick GLM-5 if you want the stronger benchmark profile. Gemini 3 Pro Deep Think only becomes the better choice if you need the larger 2M context window or you want the stronger reasoning-first profile.

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

Why this result

GLM-5 is clearly ahead on the BenchAlign aggregate, 66.06 to 61.31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GLM-5's sharpest advantage is in reasoning, where it averages 60.8 against 45.1.

Gemini 3 Pro Deep Think is the reasoning model in the pair, while GLM-5 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. Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 200K for GLM-5.

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 Gemini 3 Pro Deep Think and GLM-5
CategoryGemini 3 Pro Deep ThinkΔGLM-5
ReasoningGemini 3 Pro Deep Think45.1Margin 15.7GLM-560.8
AgenticGemini 3 Pro Deep ThinkNot measuredMarginNo overlapGLM-556.2
CodingGemini 3 Pro Deep ThinkNot measuredMarginNo overlapGLM-566.3
KnowledgeGemini 3 Pro Deep ThinkNot measuredMarginNo overlapGLM-566.4
MathGemini 3 Pro Deep ThinkNot measuredMarginNo overlapGLM-556.3
MultilingualGemini 3 Pro Deep ThinkNot measuredMarginNo overlapGLM-583.1
Inst. FollowingGemini 3 Pro Deep ThinkNot measuredMarginNo overlapGLM-592.6

Operational comparison

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

MetricGemini 3 Pro Deep ThinkGLM-5Comparison
Input / output priceUSD per 1M tokensGemini 3 Pro Deep ThinkNot availableGLM-5$1 input / $3.2 outputA complete price comparison is not available.
Generation speedtokens per secondGemini 3 Pro Deep ThinkNot availableGLM-574 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3 Pro Deep ThinkNot availableGLM-51.64 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3 Pro Deep Think2MGLM-5200KGemini 3 Pro Deep Think lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3 Pro Deep ThinkGLM-5Result
Terminal-Bench 2.0Source 56.2%Not comparable
Claw-EvalSource 57.7%Not comparable
QwenClawBenchSource 54.1%Not comparable
τ³-bench resultsSource 65.6%Not comparable
DeepPlanningSource 14.6%Not comparable
ToolathlonSource 38%Not comparable
MCP AtlasSource 31.1%Not comparable
MCP-TasksSource 60.8%Not comparable
WideResearchSource 69.8%Not comparable
τ²-bench resultsSource 98.2%Not comparable
CyberGymSource 43.2%Not comparable
APEX-Agents-AASource 14.5%Not comparable
Gert LabsSource 50.99%Not comparable
Coding
BenchmarkGemini 3 Pro Deep ThinkGLM-5Result
SWE-bench VerifiedSource 77.8%Not comparable
SWE-bench Verified*Source 72.8%Not comparable
SWE-bench ProSource 55.1%Not comparable
SWE MultilingualSource 73.3%Not comparable
SWE-RebenchSource 62.8%Not comparable
React Native EvalsSource 74.8%Not comparable
AA-SciCodeSource 46.2%Not comparable
ReasoningGLM-5 wins
BenchmarkGemini 3 Pro Deep ThinkGLM-5Result
ARC-AGI-2Source 45.1%Not comparable
CritPtSource 25.7%2.0%Gemini 3 Pro Deep Think leads
LongBench v2Source 60.8%Not comparable
AI-NeedleSource 63.3%Not comparable
AA-LCRSource 63.3%Not comparable
Knowledge
BenchmarkGemini 3 Pro Deep ThinkGLM-5Result
GPQASource 86%Not comparable
GPQA-DSource 86.0%Not comparable
SuperGPQASource 66.8%Not comparable
MMLU-ProSource 85.7%Not comparable
MMLU-Pro (Arcee)Source 85.8%Not comparable
HLESource 50.4%Not comparable
Artificial Analysis Intelligence IndexSource 39.5%Not comparable
AA-GPQA DiamondSource 82.0%Not comparable
AA-HLESource 27.2%Not comparable
AA-Omniscience IndexSource 2.0%Not comparable
AA-Omniscience AccuracySource 26.9%Not comparable
AA-Omniscience Hallucination RateSource 34.0%Not comparable
Math
BenchmarkGemini 3 Pro Deep ThinkGLM-5Result
AIME26Source 95.8%Not comparable
AIME25 (Arcee)Source 93.3%Not comparable
HMMT Feb 2025Source 97.5%Not comparable
HMMT Nov 2025Source 96.9%Not comparable
HMMT Feb 2026Source 86.4%Not comparable
MMAnswerBenchSource 82.5%Not comparable
FrontierMath v2 (Tiers 1-3)Source 16.434%Not comparable
FrontierMath v2 (Tier 4)Source 2.100%Not comparable
Multilingual
BenchmarkGemini 3 Pro Deep ThinkGLM-5Result
MMLU-ProXSource 83.1%Not comparable
NOVA-63Source 55.1%Not comparable
Multimodal
BenchmarkGemini 3 Pro Deep ThinkGLM-5Result
Design Arena WebsiteSource 1280Not comparable
Inst. Following
BenchmarkGemini 3 Pro Deep ThinkGLM-5Result
IFEvalSource 92.6%Not comparable
AA-IFBenchSource 72.3%Not comparable
Frequently Asked Questions (2)

Which is better, Gemini 3 Pro Deep Think or GLM-5?

GLM-5 is ahead on BenchLM's BenchAlign leaderboard, 66.06 to 61.31.

Which is better for reasoning, Gemini 3 Pro Deep Think or GLM-5?

GLM-5 has the edge for reasoning in this comparison, averaging 60.8 versus 45.1. Inside this category, CritPt is the benchmark that creates the most daylight between them.

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Last updated: July 20, 2026

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