Which model is better: Gemini 4 Argon or GPT-6 Astra?
Gemini 4 Argon is 80.0% cheaper for input tokens ($2.00 vs. $10.00 per 1M tokens) and $10.00 vs. $50.00 for output tokens (5.0x cost advantage). In terms of operational performance, GPT-6 Astra delivers lower response latency at 740ms TTFT (110ms faster than Gemini 4 Argon) with 74 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 75.7% for GPT-6 Astra and 93.8% vs. 96.0% 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
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$10.00
Gemini 4 Argon is 5.0x cheaper
Output Cost / 1M Tokens
$10.00
$50.00
Gemini 4 Argon (80.0% lower)
Prompt Cache Read / 1M
$0.100
$1.000
Gemini 4 Argon is 10.0x cheaper
Prompt Cache Write / 1M
$0.50
$12.50
Gemini 4 Argon is 25.0x cheaper
Context Window (Max Output)
1,024k (1000k out)
1,075k (128k out)
GPT-6 Astra (1.1x larger context)
Avg TTFT Response Latency
850ms
740ms
GPT-6 Astra (110ms faster)
Generation Speed (Throughput)
115 tok/s
74 tok/s
Gemini 4 Argon (+41 tok/s faster)
SWE-bench Verified (Coding)
84.5%
75.7%
Gemini 4 Argon (+8.8% lead)
GPQA Diamond (PhD STEM)
93.8%
96%
GPT-6 Astra (+2.2% lead)
MMLU-Pro (Multi-Discipline)
91.4%
91.2%
Gemini 4 Argon (+0.2% lead)
MATH-500 (Quantitative Logic)
98.2%
98%
Gemini 4 Argon (+0.2% 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 $10.00/1M input ($50.00/1M output) for GPT-6 Astra.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 4 Argon or GPT-6 Astra?
GPT-6 Astra delivers faster first-token latency at 740ms TTFT (74 tok/s throughput) compared to 850ms TTFT (115 tok/s) for Gemini 4 Argon.
How do Gemini 4 Argon and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 4 Argon scores 84.5% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Gemini 4 Argon scores 93.8% versus 96% for GPT-6 Astra (and 98.2% vs 98% 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-6 Astra?
Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).
