Which model is better: Gemini 3.1 Pro or Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite is 94.0% cheaper for input tokens ($0.07 vs. $1.25 per 1M tokens) and $0.30 vs. $10.00 for output tokens (16.7x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (342ms faster than Gemini 3.1 Pro) with 265 vs. 98 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 82.4% vs. 68.4% 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
Gemini 3.5 Flash-Lite
Net Delta / Advantage
Input Cost / 1M Tokens
$1.25
$0.07
Gemini 3.5 Flash-Lite is 16.7x cheaper
Output Cost / 1M Tokens
$10.00
$0.30
Gemini 3.5 Flash-Lite (97.0% lower)
Prompt Cache Read / 1M
$0.310
$0.015
Gemini 3.5 Flash-Lite is 20.7x cheaper
Prompt Cache Write / 1M
$1.25
$0.07
Gemini 3.5 Flash-Lite is 16.7x cheaper
Context Window (Max Output)
1,049k (66k out)
1,049k (33k out)
Equal Context Window
Avg TTFT Response Latency
420ms
78ms
Gemini 3.5 Flash-Lite (342ms faster)
Generation Speed (Throughput)
98 tok/s
265 tok/s
Gemini 3.5 Flash-Lite (+167 tok/s faster)
SWE-bench Verified (Coding)
71.8%
55.4%
Gemini 3.1 Pro (+16.4% lead)
GPQA Diamond (PhD STEM)
82.4%
68.4%
Gemini 3.1 Pro (+14.0% lead)
MMLU-Pro (Multi-Discipline)
89.5%
80.1%
Gemini 3.1 Pro (+9.4% lead)
MATH-500 (Quantitative Logic)
96.8%
90.2%
Gemini 3.1 Pro (+6.6% lead)
Inference Value Score (IVR)
60 / 100
81.5 / 100
Gemini 3.5 Flash-Lite (+21.5 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 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 Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite is cheaper at $0.075/1M input tokens ($0.30/1M 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 Gemini 3.5 Flash-Lite?
Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 420ms TTFT (98 tok/s) for Gemini 3.1 Pro.
How do Gemini 3.1 Pro and Gemini 3.5 Flash-Lite compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.1 Pro scores 71.8% versus 55.4% for Gemini 3.5 Flash-Lite. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.1 Pro scores 82.4% versus 68.4% for Gemini 3.5 Flash-Lite (and 96.8% vs 90.2% 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 Gemini 3.5 Flash-Lite?
Choose Gemini 3.5 Flash-Lite (Google) for high-frequency data pipelines, real-time routing, large-scale document tagging, and ultra-low-cost conversational assistants — offering a 1,048k context window, 78ms TTFT, and $0.07/1M input pricing ($0.015/1M cached reads).
