Which model is better: Claude 3.7 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 (420ms faster than Claude 3.7 Sonnet) with 140 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 58.4% for Qwen 3.8 27B and 78.5% 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
Claude 3.7 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 (64k out)
131k (16k out)
Claude 3.7 Sonnet (1.6x larger context)
Avg TTFT Response Latency
540ms
120ms
Qwen 3.8 27B (420ms faster)
Generation Speed (Throughput)
72 tok/s
140 tok/s
Qwen 3.8 27B (+68 tok/s faster)
SWE-bench Verified (Coding)
70.3%
58.4%
Claude 3.7 Sonnet (+11.9% lead)
GPQA Diamond (PhD STEM)
78.5%
68%
Claude 3.7 Sonnet (+10.5% lead)
MMLU-Pro (Multi-Discipline)
88%
81.2%
Claude 3.7 Sonnet (+6.8% lead)
MATH-500 (Quantitative Logic)
96.2%
86.4%
Claude 3.7 Sonnet (+9.8% lead)
Inference Value Score (IVR)
54.3 / 100
74.9 / 100
Qwen 3.8 27B (+20.6 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: Claude 3.7 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 3.7 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.7 Sonnet or Qwen 3.8 27B?
Qwen 3.8 27B delivers faster first-token latency at 120ms TTFT (140 tok/s throughput) compared to 540ms TTFT (72 tok/s) for Claude 3.7 Sonnet.
How do Claude 3.7 Sonnet and Qwen 3.8 27B compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 58.4% for Qwen 3.8 27B. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 68% for Qwen 3.8 27B (and 96.2% vs 86.4% on MATH-500).
When should you choose Claude 3.7 Sonnet?
Choose Claude 3.7 Sonnet (Anthropic) for full-stack repository development, complex code refactoring, and agentic tool use with predictable prompt cache economics — offering a 204k context window, 540ms 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).
