Which model is better: Claude 3.5 Sonnet or Gemini 4 Argon?
Gemini 4 Argon is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (540ms faster than Gemini 4 Argon) with 80 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 93.8% vs. 59.4% 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 3.5 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 (8k out)
1,024k (1000k out)
Gemini 4 Argon (5.0x larger context)
Avg TTFT Response Latency
310ms
850ms
Claude 3.5 Sonnet (540ms faster)
Generation Speed (Throughput)
80 tok/s
115 tok/s
Gemini 4 Argon (+35 tok/s faster)
SWE-bench Verified (Coding)
49%
84.5%
Gemini 4 Argon (+35.5% lead)
GPQA Diamond (PhD STEM)
59.4%
93.8%
Gemini 4 Argon (+34.4% lead)
MMLU-Pro (Multi-Discipline)
78%
91.4%
Gemini 4 Argon (+13.4% lead)
MATH-500 (Quantitative Logic)
78.3%
98.2%
Gemini 4 Argon (+19.9% lead)
Inference Value Score (IVR)
46.2 / 100
62.6 / 100
Gemini 4 Argon (+16.4 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 3.5 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 3.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Sonnet or Gemini 4 Argon?
Claude 3.5 Sonnet delivers faster first-token latency at 310ms TTFT (80 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do Claude 3.5 Sonnet and Gemini 4 Argon compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Sonnet scores 49% versus 84.5% for Gemini 4 Argon. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Sonnet scores 59.4% versus 93.8% for Gemini 4 Argon (and 78.3% vs 98.2% on MATH-500).
When should you choose Claude 3.5 Sonnet?
Choose Claude 3.5 Sonnet (Anthropic) for legacy enterprise workflows, code review pipelines, and human-like content generation — offering a 204k context window, 310ms 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).
