Which model is better: Gemini 3.5 Flash-Lite or GPT-6 Astra?
Gemini 3.5 Flash-Lite is 99.2% cheaper for input tokens ($0.07 vs. $10.00 per 1M tokens) and $0.30 vs. $50.00 for output tokens (133.3x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (662ms faster than GPT-6 Astra) with 265 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 96.0% 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-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$0.07
$10.00
Gemini 3.5 Flash-Lite is 133.3x cheaper
Output Cost / 1M Tokens
$0.30
$50.00
Gemini 3.5 Flash-Lite (99.4% lower)
Prompt Cache Read / 1M
$0.015
$1.000
Gemini 3.5 Flash-Lite is 66.7x cheaper
Prompt Cache Write / 1M
$0.07
$12.50
Gemini 3.5 Flash-Lite is 166.7x cheaper
Context Window (Max Output)
1,049k (33k out)
1,075k (128k out)
GPT-6 Astra (1.0x larger context)
Avg TTFT Response Latency
78ms
740ms
Gemini 3.5 Flash-Lite (662ms faster)
Generation Speed (Throughput)
265 tok/s
74 tok/s
Gemini 3.5 Flash-Lite (+191 tok/s faster)
SWE-bench Verified (Coding)
55.4%
75.7%
GPT-6 Astra (+20.3% lead)
GPQA Diamond (PhD STEM)
68.4%
96%
GPT-6 Astra (+27.6% lead)
MMLU-Pro (Multi-Discipline)
80.1%
91.2%
GPT-6 Astra (+11.1% lead)
MATH-500 (Quantitative Logic)
90.2%
98%
GPT-6 Astra (+7.8% 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-6 Astra?
Gemini 3.5 Flash-Lite is cheaper at $0.075/1M input tokens ($0.30/1M output) compared to $10.00/1M input ($50.00/1M output) for GPT-6 Astra.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.5 Flash-Lite or GPT-6 Astra?
Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do Gemini 3.5 Flash-Lite and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.5 Flash-Lite scores 55.4% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.5 Flash-Lite scores 68.4% versus 96% for GPT-6 Astra (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-6 Astra?
Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).
