Gemini 4 Argon is 86.7% cheaper for input tokens ($2.00 vs. $15.00 per 1M tokens) and $10.00 vs. $60.00 for output tokens (7.5x cost advantage). In terms of operational performance, Gemini 4 Argon delivers lower response latency at 850ms TTFT (1750ms faster than o1) with 115 vs. 48 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 48.9% for o1 and 93.8% vs. 78.0% 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
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$15.00
Gemini 4 Argon is 7.5x cheaper
Output Cost / 1M Tokens
$10.00
$60.00
Gemini 4 Argon (83.3% lower)
Prompt Cache Read / 1M
$0.100
$7.500
Gemini 4 Argon is 75.0x cheaper
Prompt Cache Write / 1M
$0.50
$15.00
Gemini 4 Argon is 30.0x cheaper
Context Window (Max Output)
1,024k (1000k out)
205k (100k out)
Gemini 4 Argon (5.0x larger context)
Avg TTFT Response Latency
850ms
2600ms
Gemini 4 Argon (1750ms faster)
Generation Speed (Throughput)
115 tok/s
48 tok/s
Gemini 4 Argon (+67 tok/s faster)
SWE-bench Verified (Coding)
84.5%
48.9%
Gemini 4 Argon (+35.6% lead)
GPQA Diamond (PhD STEM)
93.8%
78%
Gemini 4 Argon (+15.8% lead)
MMLU-Pro (Multi-Discipline)
91.4%
83.3%
Gemini 4 Argon (+8.1% lead)
MATH-500 (Quantitative Logic)
98.2%
96.4%
Gemini 4 Argon (+1.8% lead)
Inference Value Score (IVR)
62.6 / 100
37.2 / 100
Gemini 4 Argon (+25.4 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).
Gemini 4 Argon is cheaper at $2.00/1M input tokens ($10.00/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 4 Argon or o1?
Gemini 4 Argon delivers faster first-token latency at 850ms TTFT (115 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do Gemini 4 Argon and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 4 Argon scores 84.5% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, Gemini 4 Argon scores 93.8% versus 78% for o1 (and 98.2% vs 96.4% 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 o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
