Compare · ModelsLive · 2 picked · head to head
GLM 5.3 Flash vs o3
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GLM 5.3 Flash wins on 11/13 benchmarks
GLM 5.3 Flash wins 11 of 13 shared benchmarks. Leads in speed · agentic · reasoning.
Category leads
speed·GLM 5.3 Flashagentic·GLM 5.3 Flashreasoning·GLM 5.3 Flashknowledge·o3math·GLM 5.3 Flashgeneral·o3
Hype vs Reality
Attention vs performance
GLM 5.3 Flash
#151 by perf·#3 by attention
o3
#121 by perf·no signal
Best value
GLM 5.3 Flash
79.3x better value than o3
GLM 5.3 Flash
813.2 pts/$
$0.06/M
o3
10.3 pts/$
$5.00/M
Vendor risk
Who is behind the model
z-ai
private · undisclosed
OpenAI
$840.0B·Tier 1
Head to head
13 benchmarks · 2 models
GLM 5.3 Flasho3
Artificial Analysis · CritPt
GLM 5.3 Flash leads by +14.3
GLM 5.3 Flash
15.4
o3
1.1
Artificial Analysis · GPQA Diamond
GLM 5.3 Flash leads by +8.5
GLM 5.3 Flash
91.2
o3
82.7
Artificial Analysis · Humanity's Last Exam
GLM 5.3 Flash leads by +19.8
GLM 5.3 Flash
39.9
o3
20.1
Artificial Analysis · Long Context Reasoning
GLM 5.3 Flash leads by +5.3
GLM 5.3 Flash
80.0
o3
74.7
Artificial Analysis · Quality Index
GLM 5.3 Flash leads by +21.6
GLM 5.3 Flash
41.8
o3
20.2
APEX-Agents
GLM 5.3 Flash leads by +35.6
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
GLM 5.3 Flash
52.8
o3
17.2
ARC-AGI
GLM 5.3 Flash leads by +30.2
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GLM 5.3 Flash
91.0
o3
60.8
ARC-AGI-2
GLM 5.3 Flash leads by +59.3
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GLM 5.3 Flash
65.8
o3
6.5
Chess Puzzles
o3 leads by +16.8
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
GLM 5.3 Flash
16.9
o3
33.7
FrontierMath-Tiers-1-3-v2-Private
GLM 5.3 Flash leads by +23.6
GLM 5.3 Flash
58.7
o3
35.1
GPQA diamond
GLM 5.3 Flash leads by +14.7
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GLM 5.3 Flash
90.5
o3
75.8
Mystery Game Puzzles
o3 leads by +21.8
GLM 5.3 Flash
0.0
o3
21.8
OTIS Mock AIME 2024-2025
GLM 5.3 Flash leads by +9.4
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GLM 5.3 Flash
93.9
o3
84.4
Full benchmark table
| Benchmark | GLM 5.3 Flash | o3 |
|---|---|---|
Artificial Analysis · CritPt | 15.4 | 1.1 |
Artificial Analysis · GPQA Diamond | 91.2 | 82.7 |
Artificial Analysis · Humanity's Last Exam | 39.9 | 20.1 |
Artificial Analysis · Long Context Reasoning | 80.0 | 74.7 |
Artificial Analysis · Quality Index | 41.8 | 20.2 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 52.8 | 17.2 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 91.0 | 60.8 |
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. | 65.8 | 6.5 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 16.9 | 33.7 |
FrontierMath-Tiers-1-3-v2-Private | 58.7 | 35.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 90.5 | 75.8 |
Mystery Game Puzzles | 0.0 | 21.8 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 93.9 | 84.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.04 | $0.08 | 1.0M tokens (~524 books) | $0.50 | |
| $2.00 | $8.00 | 200K tokens (~100 books) | $35.00 |