Grok 3 Mini is 14.3% cheaper for input tokens ($0.30 vs. $0.35 per 1M tokens) and $1.20 vs. $1.00 for output tokens (1.2x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (10ms faster than GLM-5.3) with 160 vs. 120 tok/s throughput. GLM-5.3 leads coding evaluations at 56.0% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 67.0% vs. 68.0% 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
Grok 3 Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.35
$0.30
Grok 3 Mini is 1.2x cheaper
Output Cost / 1M Tokens
$1.00
$1.20
GLM-5.3 (16.7% lower)
Prompt Cache Read / 1M
$0.090
$0.080
Grok 3 Mini is 1.1x cheaper
Prompt Cache Write / 1M
$0.35
$0.30
Grok 3 Mini is 1.2x cheaper
Context Window (Max Output)
131k (16k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
160ms
150ms
Grok 3 Mini (10ms faster)
Generation Speed (Throughput)
120 tok/s
160 tok/s
Grok 3 Mini (+40 tok/s faster)
SWE-bench Verified (Coding)
56%
54%
GLM-5.3 (+2.0% lead)
GPQA Diamond (PhD STEM)
67%
68%
Grok 3 Mini (+1.0% lead)
MMLU-Pro (Multi-Discipline)
80.5%
80%
GLM-5.3 (+0.5% lead)
MATH-500 (Quantitative Logic)
88%
87%
GLM-5.3 (+1.0% lead)
Inference Value Score (IVR)
69.9 / 100
69.2 / 100
GLM-5.3 (+0.7 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).
Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).
Grok 3 Mini is cheaper at $0.30/1M input tokens ($1.20/1M 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 Grok 3 Mini?
Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 160ms TTFT (120 tok/s) for GLM-5.3.
How do GLM-5.3 and Grok 3 Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GLM-5.3 scores 56% versus 54% for Grok 3 Mini. On GPQA Diamond graduate-level STEM reasoning, GLM-5.3 scores 67% versus 68% for Grok 3 Mini (and 88% vs 87% 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 Grok 3 Mini?
Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).
