Which model is better: Gemma 4 31B IT or Qwen 3.8 27B?
Gemma 4 31B IT is 40.0% cheaper for input tokens ($0.12 vs. $0.20 per 1M tokens) and $0.36 vs. $0.60 for output tokens (1.7x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (5ms faster than Qwen 3.8 27B) with 155 vs. 140 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 58.4% for Qwen 3.8 27B and 71.2% 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
Gemma 4 31B IT
Qwen 3.8 27B
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$0.20
Gemma 4 31B IT is 1.7x cheaper
Output Cost / 1M Tokens
$0.36
$0.60
Gemma 4 31B IT (40.0% lower)
Prompt Cache Read / 1M
$0.030
$0.050
Gemma 4 31B IT is 1.7x cheaper
Prompt Cache Write / 1M
$0.12
$0.20
Gemma 4 31B IT is 1.7x cheaper
Context Window (Max Output)
131k (16k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
115ms
120ms
Gemma 4 31B IT (5ms faster)
Generation Speed (Throughput)
155 tok/s
140 tok/s
Gemma 4 31B IT (+15 tok/s faster)
SWE-bench Verified (Coding)
59.2%
58.4%
Gemma 4 31B IT (+0.8% lead)
GPQA Diamond (PhD STEM)
71.2%
68%
Gemma 4 31B IT (+3.2% lead)
MMLU-Pro (Multi-Discipline)
82.8%
81.2%
Gemma 4 31B IT (+1.6% lead)
MATH-500 (Quantitative Logic)
91.5%
86.4%
Gemma 4 31B IT (+5.1% lead)
Inference Value Score (IVR)
80.3 / 100
74.9 / 100
Gemma 4 31B IT (+5.4 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).
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $0.20/1M input ($0.60/1M output) for Qwen 3.8 27B.
Which model has lower TTFT latency and higher tok/s throughput: Gemma 4 31B IT or Qwen 3.8 27B?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 120ms TTFT (140 tok/s) for Qwen 3.8 27B.
How do Gemma 4 31B IT and Qwen 3.8 27B compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemma 4 31B IT scores 59.2% versus 58.4% for Qwen 3.8 27B. On GPQA Diamond graduate-level STEM reasoning, Gemma 4 31B IT scores 71.2% versus 68% for Qwen 3.8 27B (and 91.5% vs 86.4% on MATH-500).
When should you choose Gemma 4 31B IT?
Choose Gemma 4 31B IT (Google) for self-hosted VPC inference, fine-tuned domain agents, sovereign healthcare/finance workloads, and low-latency local code generation — offering a 131k context window, 115ms TTFT, and $0.12/1M 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).
