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 (500ms faster than Grok 3) with 140 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 58.4% for Qwen 3.8 27B and 84.6% 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
Grok 3
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
$0.750
$0.050
Qwen 3.8 27B is 15.0x cheaper
Prompt Cache Write / 1M
$3.00
$0.20
Qwen 3.8 27B is 15.0x cheaper
Context Window (Max Output)
134k (16k out)
131k (16k out)
Grok 3 (1.0x larger context)
Avg TTFT Response Latency
620ms
120ms
Qwen 3.8 27B (500ms faster)
Generation Speed (Throughput)
88 tok/s
140 tok/s
Qwen 3.8 27B (+52 tok/s faster)
SWE-bench Verified (Coding)
65.8%
58.4%
Grok 3 (+7.4% lead)
GPQA Diamond (PhD STEM)
84.6%
68%
Grok 3 (+16.6% lead)
MMLU-Pro (Multi-Discipline)
80%
81.2%
Qwen 3.8 27B (+1.2% lead)
MATH-500 (Quantitative Logic)
89.8%
86.4%
Grok 3 (+3.4% lead)
Inference Value Score (IVR)
52.7 / 100
74.9 / 100
Qwen 3.8 27B (+22.2 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M 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).
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 Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: Grok 3 or Qwen 3.8 27B?
Qwen 3.8 27B delivers faster first-token latency at 120ms TTFT (140 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do Grok 3 and Qwen 3.8 27B compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Grok 3 scores 65.8% versus 58.4% for Qwen 3.8 27B. On GPQA Diamond graduate-level STEM reasoning, Grok 3 scores 84.6% versus 68% for Qwen 3.8 27B (and 89.8% vs 86.4% on MATH-500).
When should you choose Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M 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).
