Which model is better: DeepSeek V3 or Gemma 4 31B IT?
Gemma 4 31B IT is 14.3% cheaper for input tokens ($0.12 vs. $0.14 per 1M tokens) and $0.36 vs. $0.28 for output tokens (1.2x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (295ms faster than DeepSeek V3) with 155 vs. 78 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 71.2% vs. 59.1% 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 V3
Gemma 4 31B IT
Net Delta / Advantage
Input Cost / 1M Tokens
$0.14
$0.12
Gemma 4 31B IT is 1.2x cheaper
Output Cost / 1M Tokens
$0.28
$0.36
DeepSeek V3 (22.2% lower)
Prompt Cache Read / 1M
$0.014
$0.030
DeepSeek V3 is 2.1x cheaper
Prompt Cache Write / 1M
$0.14
$0.12
Gemma 4 31B IT is 1.2x cheaper
Context Window (Max Output)
131k (8k out)
131k (16k out)
Equal Context Window
Avg TTFT Response Latency
410ms
115ms
Gemma 4 31B IT (295ms faster)
Generation Speed (Throughput)
78 tok/s
155 tok/s
Gemma 4 31B IT (+77 tok/s faster)
SWE-bench Verified (Coding)
42%
59.2%
Gemma 4 31B IT (+17.2% lead)
GPQA Diamond (PhD STEM)
59.1%
71.2%
Gemma 4 31B IT (+12.1% lead)
MMLU-Pro (Multi-Discipline)
75.9%
82.8%
Gemma 4 31B IT (+6.9% lead)
MATH-500 (Quantitative Logic)
90.2%
91.5%
Gemma 4 31B IT (+1.3% lead)
Inference Value Score (IVR)
75 / 100
80.3 / 100
Gemma 4 31B IT (+5.3 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 $0.14/1M input ($0.28/1M output) for DeepSeek V3.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V3 or Gemma 4 31B IT?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 410ms TTFT (78 tok/s) for DeepSeek V3.
How do DeepSeek V3 and Gemma 4 31B IT compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, DeepSeek V3 scores 42% versus 59.2% for Gemma 4 31B IT. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V3 scores 59.1% versus 71.2% for Gemma 4 31B IT (and 90.2% vs 91.5% on MATH-500).
When should you choose DeepSeek V3?
Choose DeepSeek V3 (DeepSeek) for cost-sensitive batch text processing, drafting, and open-weight self-hosted inference — offering a 131k context window, 410ms TTFT, and $0.14/1M input pricing ($0.014/1M 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).
