Which model is better: Claude 3.7 Sonnet or Gemini 4 Argon?
Gemini 4 Argon delivers superior capability at a 33.3% lower cost, while Claude 3.7 Sonnet only leads in latency. Priced at $2.00/$10.00 per 1M tokens versus Claude's $3.00/$15.00, Gemini dominates SWE-bench Verified (84.5% vs. 70.3%), GPQA Diamond (93.8% vs. 78.5%), and throughput (115 vs. 72 tok/s). However, Claude hits a 540ms TTFT, 310ms faster.
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 3.7 Sonnet
Gemini 4 Argon
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$2.00
Gemini 4 Argon is 1.5x cheaper
Output Cost / 1M Tokens
$15.00
$10.00
Gemini 4 Argon (33.3% lower)
Prompt Cache Read / 1M
$0.300
$0.100
Gemini 4 Argon is 3.0x cheaper
Prompt Cache Write / 1M
$3.75
$0.50
Gemini 4 Argon is 7.5x cheaper
Context Window (Max Output)
205k (64k out)
1,024k (1000k out)
Gemini 4 Argon (5.0x larger context)
Avg TTFT Response Latency
540ms
850ms
Claude 3.7 Sonnet (310ms faster)
Generation Speed (Throughput)
72 tok/s
115 tok/s
Gemini 4 Argon (+43 tok/s faster)
SWE-bench Verified (Coding)
70.3%
84.5%
Gemini 4 Argon (+14.2% lead)
GPQA Diamond (PhD STEM)
78.5%
93.8%
Gemini 4 Argon (+15.3% lead)
MMLU-Pro (Multi-Discipline)
88%
91.4%
Gemini 4 Argon (+3.4% lead)
MATH-500 (Quantitative Logic)
96.2%
98.2%
Gemini 4 Argon (+2.0% lead)
Inference Value Score (IVR)
54.3 / 100
62.6 / 100
Gemini 4 Argon (+8.3 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: Claude 3.7 Sonnet or Gemini 4 Argon?
Gemini 4 Argon is cheaper at $2.00/1M input tokens ($10.00/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 3.7 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.7 Sonnet or Gemini 4 Argon?
Claude 3.7 Sonnet delivers faster first-token latency at 540ms TTFT (72 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do Claude 3.7 Sonnet and Gemini 4 Argon compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 84.5% for Gemini 4 Argon. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 93.8% for Gemini 4 Argon (and 96.2% vs 98.2% on MATH-500).
When should you choose Claude 3.7 Sonnet?
Choose Claude 3.7 Sonnet (Anthropic) for full-stack repository development, complex code refactoring, and agentic tool use with predictable prompt cache economics — offering a 204k context window, 540ms TTFT, and $3.00/1M input pricing ($0.300/1M cached reads).
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).
