GLM-5.3 is 96.5% cheaper for input tokens ($0.35 vs. $10.00 per 1M tokens) and $1.00 vs. $50.00 for output tokens (28.6x cost advantage). In terms of operational performance, GLM-5.3 delivers lower response latency at 160ms TTFT (580ms faster than GPT-6 Astra) with 120 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 56.0% for GLM-5.3 and 96.0% vs. 67.0% 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-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$0.35
$10.00
GLM-5.3 is 28.6x cheaper
Output Cost / 1M Tokens
$1.00
$50.00
GLM-5.3 (98.0% lower)
Prompt Cache Read / 1M
$0.090
$1.000
GLM-5.3 is 11.1x cheaper
Prompt Cache Write / 1M
$0.35
$12.50
GLM-5.3 is 35.7x cheaper
Context Window (Max Output)
131k (16k out)
1,075k (128k out)
GPT-6 Astra (8.2x larger context)
Avg TTFT Response Latency
160ms
740ms
GLM-5.3 (580ms faster)
Generation Speed (Throughput)
120 tok/s
74 tok/s
GLM-5.3 (+46 tok/s faster)
SWE-bench Verified (Coding)
56%
75.7%
GPT-6 Astra (+19.7% lead)
GPQA Diamond (PhD STEM)
67%
96%
GPT-6 Astra (+29.0% lead)
MMLU-Pro (Multi-Discipline)
80.5%
91.2%
GPT-6 Astra (+10.7% lead)
MATH-500 (Quantitative Logic)
88%
98%
GPT-6 Astra (+10.0% lead)
Inference Value Score (IVR)
69.9 / 100
47.6 / 100
GLM-5.3 (+22.3 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).
GLM-5.3 is cheaper at $0.35/1M input tokens ($1.00/1M output) compared to $10.00/1M input ($50.00/1M output) for GPT-6 Astra.
Which model has lower TTFT latency and higher tok/s throughput: GLM-5.3 or GPT-6 Astra?
GLM-5.3 delivers faster first-token latency at 160ms TTFT (120 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do GLM-5.3 and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GLM-5.3 scores 56% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, GLM-5.3 scores 67% versus 96% for GPT-6 Astra (and 88% vs 98% 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-6 Astra?
Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).
