Gemma 4 31B IT is 96.0% cheaper for input tokens ($0.12 vs. $3.00 per 1M tokens) and $0.36 vs. $15.00 for output tokens (25.0x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (505ms faster than Grok 3) with 155 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 84.6% 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
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$3.00
Gemma 4 31B IT is 25.0x cheaper
Output Cost / 1M Tokens
$0.36
$15.00
Gemma 4 31B IT (97.6% lower)
Prompt Cache Read / 1M
$0.030
$0.750
Gemma 4 31B IT is 25.0x cheaper
Prompt Cache Write / 1M
$0.12
$3.00
Gemma 4 31B IT is 25.0x cheaper
Context Window (Max Output)
131k (16k out)
134k (16k out)
Grok 3 (1.0x larger context)
Avg TTFT Response Latency
115ms
620ms
Gemma 4 31B IT (505ms faster)
Generation Speed (Throughput)
155 tok/s
88 tok/s
Gemma 4 31B IT (+67 tok/s faster)
SWE-bench Verified (Coding)
59.2%
65.8%
Grok 3 (+6.6% lead)
GPQA Diamond (PhD STEM)
71.2%
84.6%
Grok 3 (+13.4% lead)
MMLU-Pro (Multi-Discipline)
82.8%
80%
Gemma 4 31B IT (+2.8% lead)
MATH-500 (Quantitative Logic)
91.5%
89.8%
Gemma 4 31B IT (+1.7% lead)
Inference Value Score (IVR)
80.3 / 100
52.7 / 100
Gemma 4 31B IT (+27.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $3.00/1M input ($15.00/1M output) for Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or Grok 3?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do Gemma 4 31B IT and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 84.6% for Grok 3 (and 91.5% vs 89.8% 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 Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
