Which model is better: Gemma 4 31B IT or GPT-4o Mini?
Gemma 4 31B IT is 20.0% cheaper for input tokens ($0.12 vs. $0.15 per 1M tokens) and $0.36 vs. $0.60 for output tokens (1.2x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (105ms faster than GPT-4o Mini) with 155 vs. 140 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 71.2% 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
Gemma 4 31B IT
GPT-4o Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$0.15
Gemma 4 31B IT is 1.3x cheaper
Output Cost / 1M Tokens
$0.36
$0.60
Gemma 4 31B IT (40.0% lower)
Prompt Cache Read / 1M
$0.030
$0.075
Gemma 4 31B IT is 2.5x cheaper
Prompt Cache Write / 1M
$0.12
$0.15
Gemma 4 31B IT is 1.3x cheaper
Context Window (Max Output)
131k (16k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
115ms
220ms
Gemma 4 31B IT (105ms faster)
Generation Speed (Throughput)
155 tok/s
140 tok/s
Gemma 4 31B IT (+15 tok/s faster)
SWE-bench Verified (Coding)
59.2%
41%
Gemma 4 31B IT (+18.2% lead)
GPQA Diamond (PhD STEM)
71.2%
40.2%
Gemma 4 31B IT (+31.0% lead)
MMLU-Pro (Multi-Discipline)
82.8%
68%
Gemma 4 31B IT (+14.8% lead)
MATH-500 (Quantitative Logic)
91.5%
70.2%
Gemma 4 31B IT (+21.3% lead)
Inference Value Score (IVR)
80.3 / 100
67.2 / 100
Gemma 4 31B IT (+13.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $0.15/1M input ($0.60/1M output) for GPT-4o Mini.
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or GPT-4o Mini?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 220ms TTFT (140 tok/s) for GPT-4o Mini.
How do Gemma 4 31B IT and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 40.2% for GPT-4o Mini (and 91.5% vs 70.2% 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 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).