Which model is better: Gemini 3.5 Flash-Lite or GPT-4o?
Gemini 3.5 Flash-Lite is 97.0% cheaper for input tokens ($0.07 vs. $2.50 per 1M tokens) and $0.30 vs. $10.00 for output tokens (33.3x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (202ms faster than GPT-4o) with 265 vs. 100 tok/s throughput. Gemini 3.5 Flash-Lite leads coding evaluations at 55.4% SWE-bench Verified vs. 48.0% for GPT-4o and 68.4% vs. 53.6% 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 3.5 Flash-Lite
GPT-4o
Net Delta / Advantage
Input Cost / 1M Tokens
$0.07
$2.50
Gemini 3.5 Flash-Lite is 33.3x cheaper
Output Cost / 1M Tokens
$0.30
$10.00
Gemini 3.5 Flash-Lite (97.0% lower)
Prompt Cache Read / 1M
$0.015
$1.250
Gemini 3.5 Flash-Lite is 83.3x cheaper
Prompt Cache Write / 1M
$0.07
$2.50
Gemini 3.5 Flash-Lite is 33.3x cheaper
Context Window (Max Output)
1,049k (33k out)
131k (16k out)
Gemini 3.5 Flash-Lite (8.0x larger context)
Avg TTFT Response Latency
78ms
280ms
Gemini 3.5 Flash-Lite (202ms faster)
Generation Speed (Throughput)
265 tok/s
100 tok/s
Gemini 3.5 Flash-Lite (+165 tok/s faster)
SWE-bench Verified (Coding)
55.4%
48%
Gemini 3.5 Flash-Lite (+7.4% lead)
GPQA Diamond (PhD STEM)
68.4%
53.6%
Gemini 3.5 Flash-Lite (+14.8% lead)
MMLU-Pro (Multi-Discipline)
80.1%
75.9%
Gemini 3.5 Flash-Lite (+4.2% lead)
MATH-500 (Quantitative Logic)
90.2%
76.6%
Gemini 3.5 Flash-Lite (+13.6% lead)
Inference Value Score (IVR)
81.5 / 100
47.6 / 100
Gemini 3.5 Flash-Lite (+33.9 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Gemini 3.5 Flash-Lite or GPT-4o?
Gemini 3.5 Flash-Lite is cheaper at $0.075/1M input tokens ($0.30/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-4o.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.5 Flash-Lite or GPT-4o?
Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 280ms TTFT (100 tok/s) for GPT-4o.
How do Gemini 3.5 Flash-Lite and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.5 Flash-Lite scores 55.4% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.5 Flash-Lite scores 68.4% versus 53.6% for GPT-4o (and 90.2% vs 76.6% on MATH-500).
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).
When should you choose GPT-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).
