Gemma 4 31B IT is 65.7% cheaper for input tokens ($0.12 vs. $0.35 per 1M tokens) and $0.36 vs. $1.00 for output tokens (2.9x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (45ms faster than GLM-5.3) with 155 vs. 120 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 56.0% for GLM-5.3 and 71.2% 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
Gemma 4 31B IT
GLM-5.3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$0.35
Gemma 4 31B IT is 2.9x cheaper
Output Cost / 1M Tokens
$0.36
$1.00
Gemma 4 31B IT (64.0% lower)
Prompt Cache Read / 1M
$0.030
$0.090
Gemma 4 31B IT is 3.0x cheaper
Prompt Cache Write / 1M
$0.12
$0.35
Gemma 4 31B IT is 2.9x cheaper
Context Window (Max Output)
131k (16k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
115ms
160ms
Gemma 4 31B IT (45ms faster)
Generation Speed (Throughput)
155 tok/s
120 tok/s
Gemma 4 31B IT (+35 tok/s faster)
SWE-bench Verified (Coding)
59.2%
56%
Gemma 4 31B IT (+3.2% lead)
GPQA Diamond (PhD STEM)
71.2%
67%
Gemma 4 31B IT (+4.2% lead)
MMLU-Pro (Multi-Discipline)
82.8%
80.5%
Gemma 4 31B IT (+2.3% lead)
MATH-500 (Quantitative Logic)
91.5%
88%
Gemma 4 31B IT (+3.5% lead)
Inference Value Score (IVR)
80.3 / 100
69.9 / 100
Gemma 4 31B IT (+10.4 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).
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M 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: Gemma 4 31B IT or GLM-5.3?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 160ms TTFT (120 tok/s) for GLM-5.3.
How do Gemma 4 31B IT and GLM-5.3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 56% for GLM-5.3. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 67% for GLM-5.3 (and 91.5% vs 88% on MATH-500).
When should you choose Gemma 4 31B IT?
Choose Gemma 4 31B IT (Google) for self-hosted VPC inference, fine-tuned domain agents, sovereign healthcare/finance workloads, and low-latency local code generation — offering a 131k context window, 115ms TTFT, and $0.12/1M input pricing ($0.030/1M cached reads).
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).
