GPT-4o Mini is 57.1% cheaper for input tokens ($0.15 vs. $0.35 per 1M tokens) and $0.60 vs. $1.00 for output tokens (2.3x cost advantage). In terms of operational performance, GLM-5.3 delivers lower response latency at 160ms TTFT (60ms faster than GPT-4o Mini) with 120 vs. 140 tok/s throughput. GLM-5.3 leads coding evaluations at 56.0% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 67.0% vs. 40.2% 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
GPT-4o Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.35
$0.15
GPT-4o Mini is 2.3x cheaper
Output Cost / 1M Tokens
$1.00
$0.60
GPT-4o Mini (40.0% lower)
Prompt Cache Read / 1M
$0.090
$0.075
GPT-4o Mini is 1.2x cheaper
Prompt Cache Write / 1M
$0.35
$0.15
GPT-4o Mini is 2.3x cheaper
Context Window (Max Output)
131k (16k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
160ms
220ms
GLM-5.3 (60ms faster)
Generation Speed (Throughput)
120 tok/s
140 tok/s
GPT-4o Mini (+20 tok/s faster)
SWE-bench Verified (Coding)
56%
41%
GLM-5.3 (+15.0% lead)
GPQA Diamond (PhD STEM)
67%
40.2%
GLM-5.3 (+26.8% lead)
MMLU-Pro (Multi-Discipline)
80.5%
68%
GLM-5.3 (+12.5% lead)
MATH-500 (Quantitative Logic)
88%
70.2%
GLM-5.3 (+17.8% lead)
Inference Value Score (IVR)
69.9 / 100
67.2 / 100
GLM-5.3 (+2.7 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 (Zhipu AI) for bilingual flagship foundation model optimized for cross-lingual reasoning, long-form structured analysis, and enterprise tool execution — offering a 131k context window, 160ms TTFT, and $0.35/1M input pricing ($0.090/1M cached reads).
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M output) compared to $0.35/1M input ($1.00/1M output) for GLM-5.3.
Which model has lower TTFT latency and higher tok/s throughput: GLM-5.3 or GPT-4o Mini?
GLM-5.3 delivers faster first-token latency at 160ms TTFT (120 tok/s throughput) compared to 220ms TTFT (140 tok/s) for GPT-4o Mini.
How do GLM-5.3 and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GLM-5.3 scores 56% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, GLM-5.3 scores 67% versus 40.2% for GPT-4o Mini (and 88% vs 70.2% on MATH-500).
When should you choose GLM-5.3?
Choose GLM-5.3 (Zhipu AI) for bilingual flagship foundation model optimized for cross-lingual reasoning, long-form structured analysis, and enterprise tool execution — offering a 131k context window, 160ms TTFT, and $0.35/1M input pricing ($0.090/1M cached reads).
When should you choose GPT-4o Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
