Which model is better: Gemma 4 31B IT or GLM-5.3-Flash?
Gemma 4 31B IT and GLM-5.3-Flash share identical input pricing at $0.12 per 1M tokens ($0.36 vs. $0.40 output). In terms of operational performance, GLM-5.3-Flash delivers lower response latency at 90ms TTFT (25ms faster than Gemma 4 31B IT) with 175 vs. 155 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 52.8% for GLM-5.3-Flash and 71.2% 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
Gemma 4 31B IT
GLM-5.3-Flash
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$0.12
Identical Pricing
Output Cost / 1M Tokens
$0.36
$0.40
Gemma 4 31B IT (10.0% lower)
Prompt Cache Read / 1M
$0.030
$0.030
Identical Cache Read Pricing
Prompt Cache Write / 1M
$0.12
$0.12
Identical Cache Write Pricing
Context Window (Max Output)
131k (16k out)
262k (16k out)
GLM-5.3-Flash (2.0x larger context)
Avg TTFT Response Latency
115ms
90ms
GLM-5.3-Flash (25ms faster)
Generation Speed (Throughput)
155 tok/s
175 tok/s
GLM-5.3-Flash (+20 tok/s faster)
SWE-bench Verified (Coding)
59.2%
52.8%
Gemma 4 31B IT (+6.4% lead)
GPQA Diamond (PhD STEM)
71.2%
63.5%
Gemma 4 31B IT (+7.7% lead)
MMLU-Pro (Multi-Discipline)
82.8%
78.4%
Gemma 4 31B IT (+4.4% lead)
MATH-500 (Quantitative Logic)
91.5%
84%
Gemma 4 31B IT (+7.5% lead)
Inference Value Score (IVR)
80.3 / 100
76.7 / 100
Gemma 4 31B IT (+3.6 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).
Which is cheaper: Gemma 4 31B IT or GLM-5.3-Flash?
Both Gemma 4 31B IT and GLM-5.3-Flash share identical input pricing at $0.12/1M tokens.
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or GLM-5.3-Flash?
GLM-5.3-Flash delivers faster first-token latency at 90ms TTFT (175 tok/s throughput) compared to 115ms TTFT (155 tok/s) for Gemma 4 31B IT.
How do Gemma 4 31B IT and GLM-5.3-Flash compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 52.8% for GLM-5.3-Flash. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 63.5% for GLM-5.3-Flash (and 91.5% vs 84% 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-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).
