Which model is better: Gemma 4 31B IT or OpenAI o3?
Gemma 4 31B IT is 94.0% cheaper for input tokens ($0.12 vs. $2.00 per 1M tokens) and $0.36 vs. $8.00 for output tokens (16.7x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (1035ms faster than OpenAI o3) with 155 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 87.7% vs. 71.2% 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
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$2.00
Gemma 4 31B IT is 16.7x cheaper
Output Cost / 1M Tokens
$0.36
$8.00
Gemma 4 31B IT (95.5% lower)
Prompt Cache Read / 1M
$0.030
$0.500
Gemma 4 31B IT is 16.7x cheaper
Prompt Cache Write / 1M
$0.12
$2.00
Gemma 4 31B IT is 16.7x cheaper
Context Window (Max Output)
131k (16k out)
205k (100k out)
OpenAI o3 (1.6x larger context)
Avg TTFT Response Latency
115ms
1150ms
Gemma 4 31B IT (1035ms faster)
Generation Speed (Throughput)
155 tok/s
82 tok/s
Gemma 4 31B IT (+73 tok/s faster)
SWE-bench Verified (Coding)
59.2%
71.7%
OpenAI o3 (+12.5% lead)
GPQA Diamond (PhD STEM)
71.2%
87.7%
OpenAI o3 (+16.5% lead)
MMLU-Pro (Multi-Discipline)
82.8%
89.8%
OpenAI o3 (+7.0% lead)
MATH-500 (Quantitative Logic)
91.5%
98.6%
OpenAI o3 (+7.1% lead)
Inference Value Score (IVR)
80.3 / 100
60.6 / 100
Gemma 4 31B IT (+19.7 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 $2.00/1M input ($8.00/1M output) for OpenAI o3.
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or OpenAI o3?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do Gemma 4 31B IT and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 87.7% for OpenAI o3 (and 91.5% vs 98.6% 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?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
