Compare · ModelsLive · 2 picked · head to head
Gemini 2.5 Pro vs GLM 5.3 Flash
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GLM 5.3 Flash wins on 11/11 benchmarks
GLM 5.3 Flash wins 11 of 11 shared benchmarks. Leads in speed · agentic · reasoning.
Category leads
speed·GLM 5.3 Flashagentic·GLM 5.3 Flashreasoning·GLM 5.3 Flasharena·GLM 5.3 Flashknowledge·GLM 5.3 Flashmath·GLM 5.3 Flash
Hype vs Reality
Attention vs performance
Gemini 2.5 Pro
#125 by perf·no signal
GLM 5.3 Flash
#151 by perf·#3 by attention
Best value
GLM 5.3 Flash
89.9x better value than Gemini 2.5 Pro
Gemini 2.5 Pro
9.0 pts/$
$5.63/M
GLM 5.3 Flash
813.2 pts/$
$0.06/M
Vendor risk
Who is behind the model
Google DeepMind
$3.53T·Tier 1
z-ai
private · undisclosed
Head to head
11 benchmarks · 2 models
Gemini 2.5 ProGLM 5.3 Flash
Artificial Analysis · Quality Index
GLM 5.3 Flash leads by +14.8
Gemini 2.5 Pro
27.0
GLM 5.3 Flash
41.8
APEX-Agents
GLM 5.3 Flash leads by +46.2
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Gemini 2.5 Pro
6.6
GLM 5.3 Flash
52.8
ARC-AGI
GLM 5.3 Flash leads by +50.0
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Gemini 2.5 Pro
41.0
GLM 5.3 Flash
91.0
ARC-AGI-2
GLM 5.3 Flash leads by +61.0
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Gemini 2.5 Pro
4.9
GLM 5.3 Flash
65.8
Chatbot Arena Elo · Coding
GLM 5.3 Flash leads by +388.6
Gemini 2.5 Pro
1227.0
GLM 5.3 Flash
1615.6
Chatbot Arena Elo · Overall
GLM 5.3 Flash leads by +27.4
Gemini 2.5 Pro
1445.6
GLM 5.3 Flash
1473.0
Chess Puzzles
GLM 5.3 Flash leads by +1.1
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 2.5 Pro
15.8
GLM 5.3 Flash
16.9
FrontierMath-Tier-4-v2-Private
GLM 5.3 Flash leads by +17.1
Gemini 2.5 Pro
0.0
GLM 5.3 Flash
17.1
FrontierMath-Tiers-1-3-v2-Private
GLM 5.3 Flash leads by +32.9
Gemini 2.5 Pro
25.9
GLM 5.3 Flash
58.7
GPQA diamond
GLM 5.3 Flash leads by +6.8
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 2.5 Pro
83.7
GLM 5.3 Flash
90.5
OTIS Mock AIME 2024-2025
GLM 5.3 Flash leads by +9.2
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 2.5 Pro
84.7
GLM 5.3 Flash
93.9
Full benchmark table
| Benchmark | Gemini 2.5 Pro | GLM 5.3 Flash |
|---|---|---|
Artificial Analysis · Quality Index | 27.0 | 41.8 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 6.6 | 52.8 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 41.0 | 91.0 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 4.9 | 65.8 |
Chatbot Arena Elo · Coding | 1227.0 | 1615.6 |
Chatbot Arena Elo · Overall | 1445.6 | 1473.0 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 15.8 | 16.9 |
FrontierMath-Tier-4-v2-Private | 0.0 | 17.1 |
FrontierMath-Tiers-1-3-v2-Private | 25.9 | 58.7 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 83.7 | 90.5 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 84.7 | 93.9 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.25 | $10.00 | 1.0M tokens (~524 books) | $34.38 | |
| $0.04 | $0.08 | 1.0M tokens (~524 books) | $0.50 |