Which model is better: GLM-5.3-Flash or OpenAI o3?
GLM-5.3-Flash is 94.0% cheaper for input tokens ($0.12 vs. $2.00 per 1M tokens) and $0.40 vs. $8.00 for output tokens (16.7x cost advantage). In terms of operational performance, GLM-5.3-Flash delivers lower response latency at 90ms TTFT (1060ms faster than OpenAI o3) with 175 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 52.8% for GLM-5.3-Flash and 87.7% vs. 63.5% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
GLM-5.3-Flash
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$2.00
GLM-5.3-Flash is 16.7x cheaper
Output Cost / 1M Tokens
$0.40
$8.00
GLM-5.3-Flash (95.0% lower)
Prompt Cache Read / 1M
$0.030
$0.500
GLM-5.3-Flash is 16.7x cheaper
Prompt Cache Write / 1M
$0.12
$2.00
GLM-5.3-Flash is 16.7x cheaper
Context Window (Max Output)
262k (16k out)
205k (100k out)
GLM-5.3-Flash (1.3x larger context)
Avg TTFT Response Latency
90ms
1150ms
GLM-5.3-Flash (1060ms faster)
Generation Speed (Throughput)
175 tok/s
82 tok/s
GLM-5.3-Flash (+93 tok/s faster)
SWE-bench Verified (Coding)
52.8%
71.7%
OpenAI o3 (+18.9% lead)
GPQA Diamond (PhD STEM)
63.5%
87.7%
OpenAI o3 (+24.2% lead)
MMLU-Pro (Multi-Discipline)
78.4%
89.8%
OpenAI o3 (+11.4% lead)
MATH-500 (Quantitative Logic)
84%
98.6%
OpenAI o3 (+14.6% lead)
Inference Value Score (IVR)
76.7 / 100
60.6 / 100
GLM-5.3-Flash (+16.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose GLM-5.3-Flash (Zhipu AI) for sub-100ms ultra-fast inference model designed for real-time customer support, document classification, and agentic workflows — offering a 262k context window, 90ms TTFT, and $0.12/1M input pricing ($0.030/1M cached reads).
GLM-5.3-Flash is cheaper at $0.12/1M input tokens ($0.40/1M output) compared to $2.00/1M input ($8.00/1M output) for OpenAI o3.
Which model has lower TTFT latency and higher tok/s throughput: GLM-5.3-Flash or OpenAI o3?
GLM-5.3-Flash delivers faster first-token latency at 90ms TTFT (175 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do GLM-5.3-Flash and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GLM-5.3-Flash scores 52.8% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, GLM-5.3-Flash scores 63.5% versus 87.7% for OpenAI o3 (and 84% vs 98.6% on MATH-500).
When should you choose GLM-5.3-Flash?
Choose GLM-5.3-Flash (Zhipu AI) for sub-100ms ultra-fast inference model designed for real-time customer support, document classification, and agentic workflows — offering a 262k context window, 90ms TTFT, and $0.12/1M input pricing ($0.030/1M cached reads).
When should you choose OpenAI o3?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
