Compare · ModelsLive · 2 picked · head to head
Gemini 3 Pro vs GLM 5.3
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GLM 5.3 wins on 5/8 benchmarks
GLM 5.3 wins 5 of 8 shared benchmarks. Leads in speed · agentic · general.
Category leads
speed·GLM 5.3agentic·GLM 5.3knowledge·Gemini 3 Promath·Gemini 3 Progeneral·GLM 5.3coding·GLM 5.3
Hype vs Reality
Attention vs performance
Gemini 3 Pro
#73 by perf·#6 by attention
GLM 5.3
#70 by perf·#3 by attention
Vendor risk
Who is behind the model
Google DeepMind
$4.27T·Tier 1
z-ai
private · undisclosed
Head to head
8 benchmarks · 2 models
Gemini 3 ProGLM 5.3
Artificial Analysis · Quality Index
GLM 5.3 leads by +3.5
Gemini 3 Pro
41.3
GLM 5.3
44.8
APEX-Agents
GLM 5.3 leads by +38.2
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Gemini 3 Pro
18.4
GLM 5.3
56.6
Chess Puzzles
GLM 5.3 leads by +6.3
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 3 Pro
27.4
GLM 5.3
33.7
GPQA diamond
Gemini 3 Pro leads by +2.3
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 3 Pro
90.2
GLM 5.3
87.9
OTIS Mock AIME 2024-2025
Gemini 3 Pro leads by +0.3
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 3 Pro
91.4
GLM 5.3
91.1
Proofbench
GLM 5.3 leads by +29.0
Gemini 3 Pro
20.0
GLM 5.3
49.0
SimpleQA Verified
Gemini 3 Pro leads by +31.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Gemini 3 Pro
72.9
GLM 5.3
41.0
WeirdML
GLM 5.3 leads by +5.5
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 3 Pro
69.9
GLM 5.3
75.4
Full benchmark table
| Benchmark | Gemini 3 Pro | GLM 5.3 |
|---|---|---|
Artificial Analysis · Quality Index | 41.3 | 44.8 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 18.4 | 56.6 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 27.4 | 33.7 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 90.2 | 87.9 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 91.4 | 91.1 |
Proofbench | 20.0 | 49.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 72.9 | 41.0 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 69.9 | 75.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| — | — | — | — | |
| $0.03 | $4.80 | 1.0M tokens (~524 books) | $12.22 |