Which model is better: GPT-4o Mini or GPT-6 Astra?
GPT-4o Mini is 98.5% cheaper for input tokens ($0.15 vs. $10.00 per 1M tokens) and $0.60 vs. $50.00 for output tokens (66.7x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (520ms faster than GPT-6 Astra) with 140 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 96.0% vs. 40.2% 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
GPT-4o Mini
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$0.15
$10.00
GPT-4o Mini is 66.7x cheaper
Output Cost / 1M Tokens
$0.60
$50.00
GPT-4o Mini (98.8% lower)
Prompt Cache Read / 1M
$0.075
$1.000
GPT-4o Mini is 13.3x cheaper
Prompt Cache Write / 1M
$0.15
$12.50
GPT-4o Mini is 83.3x cheaper
Context Window (Max Output)
131k (16k out)
1,075k (128k out)
GPT-6 Astra (8.2x larger context)
Avg TTFT Response Latency
220ms
740ms
GPT-4o Mini (520ms faster)
Generation Speed (Throughput)
140 tok/s
74 tok/s
GPT-4o Mini (+66 tok/s faster)
SWE-bench Verified (Coding)
41%
75.7%
GPT-6 Astra (+34.7% lead)
GPQA Diamond (PhD STEM)
40.2%
96%
GPT-6 Astra (+55.8% lead)
MMLU-Pro (Multi-Discipline)
68%
91.2%
GPT-6 Astra (+23.2% lead)
MATH-500 (Quantitative Logic)
70.2%
98%
GPT-6 Astra (+27.8% lead)
Inference Value Score (IVR)
67.2 / 100
47.6 / 100
GPT-4o Mini (+19.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M 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: GPT-4o Mini or GPT-6 Astra?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do GPT-4o Mini and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o Mini scores 41% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, GPT-4o Mini scores 40.2% versus 96% for GPT-6 Astra (and 70.2% vs 98% on MATH-500).
When should you choose GPT-4o Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M 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).
