Which model is better: Gemini 4 Argon or Gemma 4 31B IT?
Gemma 4 31B IT is 94.0% cheaper for input tokens ($0.12 vs. $2.00 per 1M tokens) and $0.36 vs. $10.00 for output tokens (16.7x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (735ms faster than Gemini 4 Argon) with 155 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 93.8% vs. 71.2% 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
Gemini 4 Argon
Gemma 4 31B IT
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$0.12
Gemma 4 31B IT is 16.7x cheaper
Output Cost / 1M Tokens
$10.00
$0.36
Gemma 4 31B IT (96.4% lower)
Prompt Cache Read / 1M
$0.100
$0.030
Gemma 4 31B IT is 3.3x cheaper
Prompt Cache Write / 1M
$0.50
$0.12
Gemma 4 31B IT is 4.2x cheaper
Context Window (Max Output)
1,024k (1000k out)
131k (16k out)
Gemini 4 Argon (7.8x larger context)
Avg TTFT Response Latency
850ms
115ms
Gemma 4 31B IT (735ms faster)
Generation Speed (Throughput)
115 tok/s
155 tok/s
Gemma 4 31B IT (+40 tok/s faster)
SWE-bench Verified (Coding)
84.5%
59.2%
Gemini 4 Argon (+25.3% lead)
GPQA Diamond (PhD STEM)
93.8%
71.2%
Gemini 4 Argon (+22.6% lead)
MMLU-Pro (Multi-Discipline)
91.4%
82.8%
Gemini 4 Argon (+8.6% lead)
MATH-500 (Quantitative Logic)
98.2%
91.5%
Gemini 4 Argon (+6.7% lead)
Inference Value Score (IVR)
62.6 / 100
80.3 / 100
Gemma 4 31B IT (+17.7 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Gemini 4 Argon (Google) for engineered with a 1M output token limit for long-horizon software engineering, cybersecurity vulnerability remediation, and deep multimodal enterprise work across legal and financial domains — offering a 1,024k context window, 850ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
Which is cheaper: Gemini 4 Argon or Gemma 4 31B IT?
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $2.00/1M input ($10.00/1M output) for Gemini 4 Argon.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 4 Argon or Gemma 4 31B IT?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do Gemini 4 Argon and Gemma 4 31B IT compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 4 Argon scores 84.5% versus 59.2% for Gemma 4 31B IT. On GPQA Diamond graduate-level STEM reasoning, Gemini 4 Argon scores 93.8% versus 71.2% for Gemma 4 31B IT (and 98.2% vs 91.5% on MATH-500).
When should you choose Gemini 4 Argon?
Choose Gemini 4 Argon (Google) for engineered with a 1M output token limit for long-horizon software engineering, cybersecurity vulnerability remediation, and deep multimodal enterprise work across legal and financial domains — offering a 1,024k context window, 850ms TTFT, and $2.00/1M input pricing ($0.100/1M 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).
