Which model is better: Claude 4 Opus or Gemma 4 31B IT?
Gemma 4 31B IT is 99.2% cheaper for input tokens ($0.12 vs. $15.00 per 1M tokens) and $0.36 vs. $75.00 for output tokens (125.0x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (805ms faster than Claude 4 Opus) with 155 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 59.2% for Gemma 4 31B IT and 87.1% 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
Claude 4 Opus
Gemma 4 31B IT
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$0.12
Gemma 4 31B IT is 125.0x cheaper
Output Cost / 1M Tokens
$75.00
$0.36
Gemma 4 31B IT (99.5% lower)
Prompt Cache Read / 1M
$1.500
$0.030
Gemma 4 31B IT is 50.0x cheaper
Prompt Cache Write / 1M
$18.75
$0.12
Gemma 4 31B IT is 156.3x cheaper
Context Window (Max Output)
205k (64k out)
131k (16k out)
Claude 4 Opus (1.6x larger context)
Avg TTFT Response Latency
920ms
115ms
Gemma 4 31B IT (805ms faster)
Generation Speed (Throughput)
46 tok/s
155 tok/s
Gemma 4 31B IT (+109 tok/s faster)
SWE-bench Verified (Coding)
77.2%
59.2%
Claude 4 Opus (+18.0% lead)
GPQA Diamond (PhD STEM)
87.1%
71.2%
Claude 4 Opus (+15.9% lead)
MMLU-Pro (Multi-Discipline)
91.8%
82.8%
Claude 4 Opus (+9.0% lead)
MATH-500 (Quantitative Logic)
98.1%
91.5%
Claude 4 Opus (+6.6% lead)
Inference Value Score (IVR)
43.6 / 100
80.3 / 100
Gemma 4 31B IT (+36.7 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Claude 4 Opus or Gemma 4 31B IT?
Gemma 4 31B IT is cheaper at $0.12/1M input tokens ($0.36/1M output) compared to $15.00/1M input ($75.00/1M output) for Claude 4 Opus.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4 Opus or Gemma 4 31B IT?
Gemma 4 31B IT delivers faster first-token latency at 115ms TTFT (155 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.
How do Claude 4 Opus and Gemma 4 31B IT compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 59.2% for Gemma 4 31B IT. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 71.2% for Gemma 4 31B IT (and 98.1% vs 91.5% on MATH-500).
When should you choose Claude 4 Opus?
Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M 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).
