Which model is better: Gemini 4 Argon or Grok 3 Mini?
Grok 3 Mini is 85.0% cheaper for input tokens ($0.30 vs. $2.00 per 1M tokens) and $1.20 vs. $10.00 for output tokens (6.7x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (700ms faster than Gemini 4 Argon) with 160 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 93.8% vs. 68.0% 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
Grok 3 Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$0.30
Grok 3 Mini is 6.7x cheaper
Output Cost / 1M Tokens
$10.00
$1.20
Grok 3 Mini (88.0% lower)
Prompt Cache Read / 1M
$0.100
$0.080
Grok 3 Mini is 1.3x cheaper
Prompt Cache Write / 1M
$0.50
$0.30
Grok 3 Mini is 1.7x cheaper
Context Window (Max Output)
1,024k (1000k out)
131k (16k out)
Gemini 4 Argon (7.8x larger context)
Avg TTFT Response Latency
850ms
150ms
Grok 3 Mini (700ms faster)
Generation Speed (Throughput)
115 tok/s
160 tok/s
Grok 3 Mini (+45 tok/s faster)
SWE-bench Verified (Coding)
84.5%
54%
Gemini 4 Argon (+30.5% lead)
GPQA Diamond (PhD STEM)
93.8%
68%
Gemini 4 Argon (+25.8% lead)
MMLU-Pro (Multi-Discipline)
91.4%
80%
Gemini 4 Argon (+11.4% lead)
MATH-500 (Quantitative Logic)
98.2%
87%
Gemini 4 Argon (+11.2% lead)
Inference Value Score (IVR)
62.6 / 100
69.2 / 100
Grok 3 Mini (+6.6 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 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).
Grok 3 Mini is cheaper at $0.30/1M input tokens ($1.20/1M output) compared to $2.00/1M input ($10.00/1M output) for Gemini 4 Argon.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 4 Argon or Grok 3 Mini?
Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do Gemini 4 Argon and Grok 3 Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 4 Argon scores 84.5% versus 54% for Grok 3 Mini. On GPQA Diamond graduate-level STEM reasoning, Gemini 4 Argon scores 93.8% versus 68% for Grok 3 Mini (and 98.2% vs 87% 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 Mini?
Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).
