Gemini 4 Argon is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $10.00 vs. $10.00 for output tokens (1.2x cost advantage). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (570ms faster than Gemini 4 Argon) with 100 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 48.0% for GPT-4o and 93.8% vs. 53.6% 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
GPT-4o
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$2.50
Gemini 4 Argon is 1.3x cheaper
Output Cost / 1M Tokens
$10.00
$10.00
Identical Output Pricing
Prompt Cache Read / 1M
$0.100
$1.250
Gemini 4 Argon is 12.5x cheaper
Prompt Cache Write / 1M
$0.50
$2.50
Gemini 4 Argon is 5.0x cheaper
Context Window (Max Output)
1,024k (1000k out)
131k (16k out)
Gemini 4 Argon (7.8x larger context)
Avg TTFT Response Latency
850ms
280ms
GPT-4o (570ms faster)
Generation Speed (Throughput)
115 tok/s
100 tok/s
Gemini 4 Argon (+15 tok/s faster)
SWE-bench Verified (Coding)
84.5%
48%
Gemini 4 Argon (+36.5% lead)
GPQA Diamond (PhD STEM)
93.8%
53.6%
Gemini 4 Argon (+40.2% lead)
MMLU-Pro (Multi-Discipline)
91.4%
75.9%
Gemini 4 Argon (+15.5% lead)
MATH-500 (Quantitative Logic)
98.2%
76.6%
Gemini 4 Argon (+21.6% lead)
Inference Value Score (IVR)
62.6 / 100
47.6 / 100
Gemini 4 Argon (+15 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).
Gemini 4 Argon is cheaper at $2.00/1M input tokens ($10.00/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-4o.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 4 Argon or GPT-4o?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do Gemini 4 Argon and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 4 Argon scores 84.5% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, Gemini 4 Argon scores 93.8% versus 53.6% for GPT-4o (and 98.2% vs 76.6% 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 GPT-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).
