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, Grok 3 delivers lower response latency at 620ms TTFT (230ms faster than Gemini 4 Argon) with 88 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 65.8% for Grok 3 and 93.8% vs. 84.6% 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
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$3.00
Gemini 4 Argon is 1.5x cheaper
Output Cost / 1M Tokens
$10.00
$15.00
Gemini 4 Argon (33.3% lower)
Prompt Cache Read / 1M
$0.100
$0.750
Gemini 4 Argon is 7.5x cheaper
Prompt Cache Write / 1M
$0.50
$3.00
Gemini 4 Argon is 6.0x cheaper
Context Window (Max Output)
1,024k (1000k out)
134k (16k out)
Gemini 4 Argon (7.6x larger context)
Avg TTFT Response Latency
850ms
620ms
Grok 3 (230ms faster)
Generation Speed (Throughput)
115 tok/s
88 tok/s
Gemini 4 Argon (+27 tok/s faster)
SWE-bench Verified (Coding)
84.5%
65.8%
Gemini 4 Argon (+18.7% lead)
GPQA Diamond (PhD STEM)
93.8%
84.6%
Gemini 4 Argon (+9.2% lead)
MMLU-Pro (Multi-Discipline)
91.4%
80%
Gemini 4 Argon (+11.4% lead)
MATH-500 (Quantitative Logic)
98.2%
89.8%
Gemini 4 Argon (+8.4% lead)
Inference Value Score (IVR)
62.6 / 100
52.7 / 100
Gemini 4 Argon (+9.9 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).
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
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 Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 4 Argon or Grok 3?
Grok 3 delivers faster first-token latency at 620ms TTFT (88 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do Gemini 4 Argon and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 4 Argon scores 84.5% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Gemini 4 Argon scores 93.8% versus 84.6% for Grok 3 (and 98.2% vs 89.8% 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 Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
