Which model is better: Gemini 2.5 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 (585ms faster than Gemini 2.5 Pro) with 155 vs. 80 tok/s throughput. Gemini 2.5 Pro leads coding evaluations at 63.8% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 74.0% 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 2.5 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
$0.313
$0.030
Gemma 4 31B IT is 10.4x cheaper
Prompt Cache Write / 1M
$1.25
$0.12
Gemma 4 31B IT is 10.4x cheaper
Context Window (Max Output)
1,024k (66k out)
131k (16k out)
Gemini 2.5 Pro (7.8x larger context)
Avg TTFT Response Latency
700ms
115ms
Gemma 4 31B IT (585ms faster)
Generation Speed (Throughput)
80 tok/s
155 tok/s
Gemma 4 31B IT (+75 tok/s faster)
SWE-bench Verified (Coding)
63.8%
59.2%
Gemini 2.5 Pro (+4.6% lead)
GPQA Diamond (PhD STEM)
74%
71.2%
Gemini 2.5 Pro (+2.8% lead)
MMLU-Pro (Multi-Discipline)
85.2%
82.8%
Gemini 2.5 Pro (+2.4% lead)
MATH-500 (Quantitative Logic)
95%
91.5%
Gemini 2.5 Pro (+3.5% lead)
Inference Value Score (IVR)
56.8 / 100
80.3 / 100
Gemma 4 31B IT (+23.5 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 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M cached reads).
Which is cheaper: Gemini 2.5 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 2.5 Pro.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Pro or Gemma 4 31B IT?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 700ms TTFT (80 tok/s) for Gemini 2.5 Pro.
How do Gemini 2.5 Pro and Gemma 4 31B IT compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Pro scores 63.8% versus 59.2% for Gemma 4 31B IT. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Pro scores 74% versus 71.2% for Gemma 4 31B IT (and 95% vs 91.5% on MATH-500).
When should you choose Gemini 2.5 Pro?
Choose Gemini 2.5 Pro (Google) for long-context document and video analysis, large codebase ingestion, and multimodal reasoning — offering a 1,024k context window, 700ms TTFT, and $1.25/1M input pricing ($0.312/1M 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).
