Which model is better: GPT-6 Astra or OpenAI o3-mini?
OpenAI o3-mini is 89.0% cheaper for input tokens ($1.10 vs. $10.00 per 1M tokens) and $4.40 vs. $50.00 for output tokens (9.1x cost advantage). In terms of operational performance, GPT-6 Astra delivers lower response latency at 740ms TTFT (210ms faster than OpenAI o3-mini) with 74 vs. 98 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 96.0% vs. 79.7% 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-6 Astra
OpenAI o3-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$10.00
$1.10
OpenAI o3-mini is 9.1x cheaper
Output Cost / 1M Tokens
$50.00
$4.40
OpenAI o3-mini (91.2% lower)
Prompt Cache Read / 1M
$1.000
$0.550
OpenAI o3-mini is 1.8x cheaper
Prompt Cache Write / 1M
$12.50
$1.10
OpenAI o3-mini is 11.4x cheaper
Context Window (Max Output)
1,075k (128k out)
205k (100k out)
GPT-6 Astra (5.3x larger context)
Avg TTFT Response Latency
740ms
950ms
GPT-6 Astra (210ms faster)
Generation Speed (Throughput)
74 tok/s
98 tok/s
OpenAI o3-mini (+24 tok/s faster)
SWE-bench Verified (Coding)
75.7%
49.3%
GPT-6 Astra (+26.4% lead)
GPQA Diamond (PhD STEM)
96%
79.7%
GPT-6 Astra (+16.3% lead)
MMLU-Pro (Multi-Discipline)
91.2%
83.2%
GPT-6 Astra (+8.0% lead)
MATH-500 (Quantitative Logic)
98%
97.9%
GPT-6 Astra (+0.1% lead)
Inference Value Score (IVR)
47.6 / 100
59.7 / 100
OpenAI o3-mini (+12.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
OpenAI o3-mini is cheaper at $1.10/1M input tokens ($4.40/1M 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-6 Astra or OpenAI o3-mini?
GPT-6 Astra delivers faster first-token latency at 740ms TTFT (74 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do GPT-6 Astra and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6 Astra scores 75.7% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, GPT-6 Astra scores 96% versus 79.7% for OpenAI o3-mini (and 98% vs 97.9% on MATH-500).
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).
When should you choose OpenAI o3-mini?
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
