Which model is better: Gemini 3.8 Flash or Qwen 3.8 27B?
Qwen 3.8 27B is 20.0% cheaper for input tokens ($0.20 vs. $0.25 per 1M tokens) and $0.60 vs. $1.50 for output tokens (1.2x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (15ms faster than Qwen 3.8 27B) with 210 vs. 140 tok/s throughput. Gemini 3.8 Flash leads coding evaluations at 68.5% SWE-bench Verified vs. 58.4% for Qwen 3.8 27B and 79.2% vs. 68.0% 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 3.8 Flash
Qwen 3.8 27B
Net Delta / Advantage
Input Cost / 1M Tokens
$0.25
$0.20
Qwen 3.8 27B is 1.3x cheaper
Output Cost / 1M Tokens
$1.50
$0.60
Qwen 3.8 27B (60.0% lower)
Prompt Cache Read / 1M
$0.025
$0.050
Gemini 3.8 Flash is 2.0x cheaper
Prompt Cache Write / 1M
$0.25
$0.20
Qwen 3.8 27B is 1.3x cheaper
Context Window (Max Output)
1,049k (66k out)
131k (16k out)
Gemini 3.8 Flash (8.0x larger context)
Avg TTFT Response Latency
105ms
120ms
Gemini 3.8 Flash (15ms faster)
Generation Speed (Throughput)
210 tok/s
140 tok/s
Gemini 3.8 Flash (+70 tok/s faster)
SWE-bench Verified (Coding)
68.5%
58.4%
Gemini 3.8 Flash (+10.1% lead)
GPQA Diamond (PhD STEM)
79.2%
68%
Gemini 3.8 Flash (+11.2% lead)
MMLU-Pro (Multi-Discipline)
87.4%
81.2%
Gemini 3.8 Flash (+6.2% lead)
MATH-500 (Quantitative Logic)
95.1%
86.4%
Gemini 3.8 Flash (+8.7% lead)
Inference Value Score (IVR)
74 / 100
74.9 / 100
Qwen 3.8 27B (+0.9 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Gemini 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M cached reads).
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 3.8 Flash or Qwen 3.8 27B?
Qwen 3.8 27B is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $0.25/1M input ($1.50/1M output) for Gemini 3.8 Flash.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.8 Flash or Qwen 3.8 27B?
Gemini 3.8 Flash delivers faster first-token latency at 105ms TTFT (210 tok/s throughput) compared to 120ms TTFT (140 tok/s) for Qwen 3.8 27B.
How do Gemini 3.8 Flash and Qwen 3.8 27B compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.8 Flash scores 68.5% versus 58.4% for Qwen 3.8 27B. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.8 Flash scores 79.2% versus 68% for Qwen 3.8 27B (and 95.1% vs 86.4% on MATH-500).
When should you choose Gemini 3.8 Flash?
Choose Gemini 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M 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).
