Which model is better: Gemini 3.5 Flash-Lite or Qwen 3.8 27B?
Gemini 3.5 Flash-Lite is 62.5% cheaper for input tokens ($0.07 vs. $0.20 per 1M tokens) and $0.30 vs. $0.60 for output tokens (2.7x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (42ms faster than Qwen 3.8 27B) with 265 vs. 140 tok/s throughput. Qwen 3.8 27B leads coding evaluations at 58.4% SWE-bench Verified vs. 55.4% for Gemini 3.5 Flash-Lite and 68.0% 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
Qwen 3.8 27B
Net Delta / Advantage
Input Cost / 1M Tokens
$0.07
$0.20
Gemini 3.5 Flash-Lite is 2.7x cheaper
Output Cost / 1M Tokens
$0.30
$0.60
Gemini 3.5 Flash-Lite (50.0% lower)
Prompt Cache Read / 1M
$0.015
$0.050
Gemini 3.5 Flash-Lite is 3.3x cheaper
Prompt Cache Write / 1M
$0.07
$0.20
Gemini 3.5 Flash-Lite is 2.7x 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
120ms
Gemini 3.5 Flash-Lite (42ms faster)
Generation Speed (Throughput)
265 tok/s
140 tok/s
Gemini 3.5 Flash-Lite (+125 tok/s faster)
SWE-bench Verified (Coding)
55.4%
58.4%
Qwen 3.8 27B (+3.0% lead)
GPQA Diamond (PhD STEM)
68.4%
68%
Gemini 3.5 Flash-Lite (+0.4% lead)
MMLU-Pro (Multi-Discipline)
80.1%
81.2%
Qwen 3.8 27B (+1.1% lead)
MATH-500 (Quantitative Logic)
90.2%
86.4%
Gemini 3.5 Flash-Lite (+3.8% lead)
Inference Value Score (IVR)
81.5 / 100
74.9 / 100
Gemini 3.5 Flash-Lite (+6.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Qwen 3.8 27B (Alibaba Cloud) for high-performance 27B open weights optimized for local deployment, code generation, and low-latency production pipelines — offering a 131k context window, 120ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).
Which is cheaper: Gemini 3.5 Flash-Lite or Qwen 3.8 27B?
Gemini 3.5 Flash-Lite is cheaper at $0.075/1M input tokens ($0.30/1M output) compared to $0.20/1M input ($0.60/1M output) for Qwen 3.8 27B.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.5 Flash-Lite or Qwen 3.8 27B?
Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 120ms TTFT (140 tok/s) for Qwen 3.8 27B.
How do Gemini 3.5 Flash-Lite and Qwen 3.8 27B compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.5 Flash-Lite scores 55.4% versus 58.4% for Qwen 3.8 27B. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.5 Flash-Lite scores 68.4% versus 68% for Qwen 3.8 27B (and 90.2% vs 86.4% 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 Qwen 3.8 27B?
Choose Qwen 3.8 27B (Alibaba Cloud) for high-performance 27B open weights optimized for local deployment, code generation, and low-latency production pipelines — offering a 131k context window, 120ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).
