Which model is better: Gemma 4 31B IT or OpenAI o3-mini?
Gemma 4 31B IT is 89.1% cheaper for input tokens ($0.12 vs. $1.10 per 1M tokens) and $0.36 vs. $4.40 for output tokens (9.2x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (835ms faster than OpenAI o3-mini) with 155 vs. 98 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 71.2% vs. 79.7% 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
OpenAI o3-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$1.10
Gemma 4 31B IT is 9.2x cheaper
Output Cost / 1M Tokens
$0.36
$4.40
Gemma 4 31B IT (91.8% lower)
Prompt Cache Read / 1M
$0.030
$0.550
Gemma 4 31B IT is 18.3x cheaper
Prompt Cache Write / 1M
$0.12
$1.10
Gemma 4 31B IT is 9.2x cheaper
Context Window (Max Output)
131k (16k out)
205k (100k out)
OpenAI o3-mini (1.6x larger context)
Avg TTFT Response Latency
115ms
950ms
Gemma 4 31B IT (835ms faster)
Generation Speed (Throughput)
155 tok/s
98 tok/s
Gemma 4 31B IT (+57 tok/s faster)
SWE-bench Verified (Coding)
59.2%
49.3%
Gemma 4 31B IT (+9.9% lead)
GPQA Diamond (PhD STEM)
71.2%
79.7%
OpenAI o3-mini (+8.5% lead)
MMLU-Pro (Multi-Discipline)
82.8%
83.2%
OpenAI o3-mini (+0.4% lead)
MATH-500 (Quantitative Logic)
91.5%
97.9%
OpenAI o3-mini (+6.4% lead)
Inference Value Score (IVR)
80.3 / 100
59.7 / 100
Gemma 4 31B IT (+20.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
Which is cheaper: Gemma 4 31B IT or OpenAI o3-mini?
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $1.10/1M input ($4.40/1M output) for OpenAI o3-mini.
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or OpenAI o3-mini?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do Gemma 4 31B IT and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 79.7% for OpenAI o3-mini (and 91.5% vs 97.9% 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 OpenAI o3-mini?
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
