Which model is better: Gemini 3.8 Flash or Gemma 4 31B IT?
Gemma 4 31B IT is 52.0% cheaper for input tokens ($0.12 vs. $0.25 per 1M tokens) and $0.36 vs. $1.50 for output tokens (2.1x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (10ms faster than Gemma 4 31B IT) with 210 vs. 155 tok/s throughput. Gemini 3.8 Flash leads coding evaluations at 68.5% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 79.2% 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 3.8 Flash
Gemma 4 31B IT
Net Delta / Advantage
Input Cost / 1M Tokens
$0.25
$0.12
Gemma 4 31B IT is 2.1x cheaper
Output Cost / 1M Tokens
$1.50
$0.36
Gemma 4 31B IT (76.0% lower)
Prompt Cache Read / 1M
$0.025
$0.030
Gemini 3.8 Flash is 1.2x cheaper
Prompt Cache Write / 1M
$0.25
$0.12
Gemma 4 31B IT is 2.1x cheaper
Context Window (Max Output)
1,049k (66k out)
131k (16k out)
Gemini 3.8 Flash (8.0x larger context)
Avg TTFT Response Latency
105ms
115ms
Gemini 3.8 Flash (10ms faster)
Generation Speed (Throughput)
210 tok/s
155 tok/s
Gemini 3.8 Flash (+55 tok/s faster)
SWE-bench Verified (Coding)
68.5%
59.2%
Gemini 3.8 Flash (+9.3% lead)
GPQA Diamond (PhD STEM)
79.2%
71.2%
Gemini 3.8 Flash (+8.0% lead)
MMLU-Pro (Multi-Discipline)
87.4%
82.8%
Gemini 3.8 Flash (+4.6% lead)
MATH-500 (Quantitative Logic)
95.1%
91.5%
Gemini 3.8 Flash (+3.6% lead)
Inference Value Score (IVR)
74 / 100
80.3 / 100
Gemma 4 31B IT (+6.3 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 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M cached reads).
Which is cheaper: Gemini 3.8 Flash or Gemma 4 31B IT?
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $0.25/1M input ($1.50/1M output) for Gemini 3.8 Flash.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.8 Flash or Gemma 4 31B IT?
Gemini 3.8 Flash delivers faster first-token latency at 105ms TTFT (210 tok/s throughput) compared to 115ms TTFT (155 tok/s) for Gemma 4 31B IT.
How do Gemini 3.8 Flash and Gemma 4 31B IT compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.8 Flash scores 68.5% versus 59.2% for Gemma 4 31B IT. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.8 Flash scores 79.2% versus 71.2% for Gemma 4 31B IT (and 95.1% vs 91.5% on MATH-500).
When should you choose Gemini 3.8 Flash?
Choose Gemini 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M 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).
