Which model is better: Gemma 4 31B IT or OpenAI o4-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 (565ms faster than OpenAI o4-mini) with 155 vs. 125 tok/s throughput. OpenAI o4-mini leads coding evaluations at 68.1% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 81.4% 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 o4-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
$0.275
Gemma 4 31B IT is 9.2x 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 o4-mini (1.6x larger context)
Avg TTFT Response Latency
115ms
680ms
Gemma 4 31B IT (565ms faster)
Generation Speed (Throughput)
155 tok/s
125 tok/s
Gemma 4 31B IT (+30 tok/s faster)
SWE-bench Verified (Coding)
59.2%
68.1%
OpenAI o4-mini (+8.9% lead)
GPQA Diamond (PhD STEM)
71.2%
81.4%
OpenAI o4-mini (+10.2% lead)
MMLU-Pro (Multi-Discipline)
82.8%
85.6%
OpenAI o4-mini (+2.8% lead)
MATH-500 (Quantitative Logic)
91.5%
97.8%
OpenAI o4-mini (+6.3% lead)
Inference Value Score (IVR)
80.3 / 100
63.7 / 100
Gemma 4 31B IT (+16.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Gemma 4 31B IT or OpenAI o4-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 o4-mini.
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or OpenAI o4-mini?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 680ms TTFT (125 tok/s) for OpenAI o4-mini.
How do Gemma 4 31B IT and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 81.4% for OpenAI o4-mini (and 91.5% vs 97.8% 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 o4-mini?
Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
