Which model is better: Gemini 3.5 Flash-Lite or GPT-5?
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 (262ms faster than GPT-5) with 265 vs. 105 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 85.4% 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 3.5 Flash-Lite
GPT-5
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
$0.625
Gemini 3.5 Flash-Lite is 41.7x 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)
410k (128k out)
Gemini 3.5 Flash-Lite (2.6x larger context)
Avg TTFT Response Latency
78ms
340ms
Gemini 3.5 Flash-Lite (262ms faster)
Generation Speed (Throughput)
265 tok/s
105 tok/s
Gemini 3.5 Flash-Lite (+160 tok/s faster)
SWE-bench Verified (Coding)
55.4%
74.9%
GPT-5 (+19.5% lead)
GPQA Diamond (PhD STEM)
68.4%
85.4%
GPT-5 (+17.0% lead)
MMLU-Pro (Multi-Discipline)
80.1%
90.8%
GPT-5 (+10.7% lead)
MATH-500 (Quantitative Logic)
90.2%
98%
GPT-5 (+7.8% lead)
Inference Value Score (IVR)
81.5 / 100
59.2 / 100
Gemini 3.5 Flash-Lite (+22.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
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-5.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.5 Flash-Lite or GPT-5?
Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 340ms TTFT (105 tok/s) for GPT-5.
How do Gemini 3.5 Flash-Lite and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.5 Flash-Lite scores 55.4% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.5 Flash-Lite scores 68.4% versus 85.4% for GPT-5 (and 90.2% vs 98% 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-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M cached reads).
