Which model is better: Gemini 2.5 Flash or Qwen 3.8 27B?
Qwen 3.8 27B is 33.3% cheaper for input tokens ($0.20 vs. $0.30 per 1M tokens) and $0.60 vs. $2.50 for output tokens (1.5x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (10ms faster than Qwen 3.8 27B) with 180 vs. 140 tok/s throughput. Qwen 3.8 27B leads coding evaluations at 58.4% SWE-bench Verified vs. 58.0% for Gemini 2.5 Flash and 68.0% vs. 70.5% 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 2.5 Flash
Qwen 3.8 27B
Net Delta / Advantage
Input Cost / 1M Tokens
$0.30
$0.20
Qwen 3.8 27B is 1.5x cheaper
Output Cost / 1M Tokens
$2.50
$0.60
Qwen 3.8 27B (76.0% lower)
Prompt Cache Read / 1M
$0.030
$0.050
Gemini 2.5 Flash is 1.7x cheaper
Prompt Cache Write / 1M
$0.30
$0.20
Qwen 3.8 27B is 1.5x cheaper
Context Window (Max Output)
1,049k (66k out)
131k (16k out)
Gemini 2.5 Flash (8.0x larger context)
Avg TTFT Response Latency
110ms
120ms
Gemini 2.5 Flash (10ms faster)
Generation Speed (Throughput)
180 tok/s
140 tok/s
Gemini 2.5 Flash (+40 tok/s faster)
SWE-bench Verified (Coding)
58%
58.4%
Qwen 3.8 27B (+0.4% lead)
GPQA Diamond (PhD STEM)
70.5%
68%
Gemini 2.5 Flash (+2.5% lead)
MMLU-Pro (Multi-Discipline)
82%
81.2%
Gemini 2.5 Flash (+0.8% lead)
MATH-500 (Quantitative Logic)
89%
86.4%
Gemini 2.5 Flash (+2.6% lead)
Inference Value Score (IVR)
66.6 / 100
74.9 / 100
Qwen 3.8 27B (+8.3 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 2.5 Flash or Qwen 3.8 27B?
Qwen 3.8 27B is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $0.30/1M input ($2.50/1M output) for Gemini 2.5 Flash.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Flash or Qwen 3.8 27B?
Gemini 2.5 Flash delivers faster first-token latency at 110ms TTFT (180 tok/s throughput) compared to 120ms TTFT (140 tok/s) for Qwen 3.8 27B.
How do Gemini 2.5 Flash and Qwen 3.8 27B compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.5 Flash scores 58% versus 58.4% for Qwen 3.8 27B. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Flash scores 70.5% versus 68% for Qwen 3.8 27B (and 89% vs 86.4% on MATH-500).
When should you choose Gemini 2.5 Flash?
Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M 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).
