Which model is better: Gemini 3.1 Pro or Gemma 4 31B IT?
Gemma 4 31B IT is 90.4% cheaper for input tokens ($0.12 vs. $1.25 per 1M tokens) and $0.36 vs. $10.00 for output tokens (10.4x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (305ms faster than Gemini 3.1 Pro) with 155 vs. 98 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 82.4% 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
Gemini 3.1 Pro
Gemma 4 31B IT
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$0.12
Gemma 4 31B IT is 10.4x cheaper
Output Cost / 1M Tokens
$10.00
$0.36
Gemma 4 31B IT (96.4% lower)
Prompt Cache Read / 1M
$0.310
$0.030
Gemma 4 31B IT is 10.3x cheaper
Prompt Cache Write / 1M
$1.25
$0.12
Gemma 4 31B IT is 10.4x cheaper
Context Window (Max Output)
1,049k (66k out)
131k (16k out)
Gemini 3.1 Pro (8.0x larger context)
Avg TTFT Response Latency
420ms
115ms
Gemma 4 31B IT (305ms faster)
Generation Speed (Throughput)
98 tok/s
155 tok/s
Gemma 4 31B IT (+57 tok/s faster)
SWE-bench Verified (Coding)
71.8%
59.2%
Gemini 3.1 Pro (+12.6% lead)
GPQA Diamond (PhD STEM)
82.4%
71.2%
Gemini 3.1 Pro (+11.2% lead)
MMLU-Pro (Multi-Discipline)
89.5%
82.8%
Gemini 3.1 Pro (+6.7% lead)
MATH-500 (Quantitative Logic)
96.8%
91.5%
Gemini 3.1 Pro (+5.3% lead)
Inference Value Score (IVR)
60 / 100
80.3 / 100
Gemma 4 31B IT (+20.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
Which is cheaper: Gemini 3.1 Pro or Gemma 4 31B IT?
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $1.25/1M input ($10.00/1M output) for Gemini 3.1 Pro.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.1 Pro or Gemma 4 31B IT?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 420ms TTFT (98 tok/s) for Gemini 3.1 Pro.
How do Gemini 3.1 Pro and Gemma 4 31B IT compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.1 Pro scores 71.8% versus 59.2% for Gemma 4 31B IT. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.1 Pro scores 82.4% versus 71.2% for Gemma 4 31B IT (and 96.8% vs 91.5% on MATH-500).
When should you choose Gemini 3.1 Pro?
Choose Gemini 3.1 Pro (Google) for complex enterprise architecture planning, multi-file code refactoring, legal/financial corpus auditing, and multimodal research — offering a 1,048k context window, 420ms TTFT, and $1.25/1M input pricing ($0.310/1M cached reads).
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).
