Which model is better: DeepSeek R1 or Gemma 4 31B IT?
Gemma 4 31B IT is 78.2% cheaper for input tokens ($0.12 vs. $0.55 per 1M tokens) and $0.36 vs. $2.19 for output tokens (4.6x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (1335ms faster than DeepSeek R1) with 155 vs. 58 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 49.2% for DeepSeek R1 and 71.2% vs. 71.5% 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
DeepSeek R1
Gemma 4 31B IT
Net Delta / Advantage
Input Cost / 1M Tokens
$0.55
$0.12
Gemma 4 31B IT is 4.6x cheaper
Output Cost / 1M Tokens
$2.19
$0.36
Gemma 4 31B IT (83.6% lower)
Prompt Cache Read / 1M
$0.140
$0.030
Gemma 4 31B IT is 4.7x cheaper
Prompt Cache Write / 1M
$0.55
$0.12
Gemma 4 31B IT is 4.6x cheaper
Context Window (Max Output)
131k (33k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
1450ms
115ms
Gemma 4 31B IT (1335ms faster)
Generation Speed (Throughput)
58 tok/s
155 tok/s
Gemma 4 31B IT (+97 tok/s faster)
SWE-bench Verified (Coding)
49.2%
59.2%
Gemma 4 31B IT (+10.0% lead)
GPQA Diamond (PhD STEM)
71.5%
71.2%
DeepSeek R1 (+0.3% lead)
MMLU-Pro (Multi-Discipline)
84%
82.8%
DeepSeek R1 (+1.2% lead)
MATH-500 (Quantitative Logic)
97.3%
91.5%
DeepSeek R1 (+5.8% lead)
Inference Value Score (IVR)
64.8 / 100
80.3 / 100
Gemma 4 31B IT (+15.5 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $0.55/1M input ($2.19/1M output) for DeepSeek R1.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek R1 or Gemma 4 31B IT?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 1450ms TTFT (58 tok/s) for DeepSeek R1.
How do DeepSeek R1 and Gemma 4 31B IT compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek R1 scores 49.2% versus 59.2% for Gemma 4 31B IT. On GPQA Diamond graduate-level STEM reasoning, DeepSeek R1 scores 71.5% versus 71.2% for Gemma 4 31B IT (and 97.3% vs 91.5% on MATH-500).
When should you choose DeepSeek R1?
Choose DeepSeek R1 (DeepSeek) for open-weight chain-of-thought reasoning, synthetic data distillation, and complex mathematical verification — offering a 131k context window, 1450ms TTFT, and $0.55/1M input pricing ($0.140/1M cached reads).
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).
