Which model is better: Claude 3.5 Sonnet or Qwen 3.8 27B?
Qwen 3.8 27B is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Qwen 3.8 27B delivers lower response latency at 120ms TTFT (190ms faster than Claude 3.5 Sonnet) with 140 vs. 80 tok/s throughput. Qwen 3.8 27B leads coding evaluations at 58.4% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 68.0% vs. 59.4% 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
Claude 3.5 Sonnet
Qwen 3.8 27B
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$0.20
Qwen 3.8 27B is 15.0x cheaper
Output Cost / 1M Tokens
$15.00
$0.60
Qwen 3.8 27B (96.0% lower)
Prompt Cache Read / 1M
$0.300
$0.050
Qwen 3.8 27B is 6.0x cheaper
Prompt Cache Write / 1M
$3.75
$0.20
Qwen 3.8 27B is 18.8x cheaper
Context Window (Max Output)
205k (8k out)
131k (16k out)
Claude 3.5 Sonnet (1.6x larger context)
Avg TTFT Response Latency
310ms
120ms
Qwen 3.8 27B (190ms faster)
Generation Speed (Throughput)
80 tok/s
140 tok/s
Qwen 3.8 27B (+60 tok/s faster)
SWE-bench Verified (Coding)
49%
58.4%
Qwen 3.8 27B (+9.4% lead)
GPQA Diamond (PhD STEM)
59.4%
68%
Qwen 3.8 27B (+8.6% lead)
MMLU-Pro (Multi-Discipline)
78%
81.2%
Qwen 3.8 27B (+3.2% lead)
MATH-500 (Quantitative Logic)
78.3%
86.4%
Qwen 3.8 27B (+8.1% lead)
Inference Value Score (IVR)
46.2 / 100
74.9 / 100
Qwen 3.8 27B (+28.7 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: Claude 3.5 Sonnet or Qwen 3.8 27B?
Qwen 3.8 27B is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 3.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Sonnet or Qwen 3.8 27B?
Qwen 3.8 27B delivers faster first-token latency at 120ms TTFT (140 tok/s throughput) compared to 310ms TTFT (80 tok/s) for Claude 3.5 Sonnet.
How do Claude 3.5 Sonnet and Qwen 3.8 27B compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Sonnet scores 49% versus 58.4% for Qwen 3.8 27B. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Sonnet scores 59.4% versus 68% for Qwen 3.8 27B (and 78.3% vs 86.4% on MATH-500).
When should you choose Claude 3.5 Sonnet?
Choose Claude 3.5 Sonnet (Anthropic) for legacy enterprise workflows, code review pipelines, and human-like content generation — offering a 204k context window, 310ms TTFT, and $3.00/1M input pricing ($0.300/1M 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).
