OpenAI o3 is 80.0% cheaper for input tokens ($2.00 vs. $10.00 per 1M tokens) and $8.00 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 (410ms faster than OpenAI o3) with 74 vs. 82 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 71.7% for OpenAI o3 and 96.0% vs. 87.7% 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
Net Delta / Advantage
Input Cost / 1M Tokens
$10.00
$2.00
OpenAI o3 is 5.0x cheaper
Output Cost / 1M Tokens
$50.00
$8.00
OpenAI o3 (84.0% lower)
Prompt Cache Read / 1M
$1.000
$0.500
OpenAI o3 is 2.0x cheaper
Prompt Cache Write / 1M
$12.50
$2.00
OpenAI o3 is 6.3x cheaper
Context Window (Max Output)
1,075k (128k out)
205k (100k out)
GPT-6 Astra (5.3x larger context)
Avg TTFT Response Latency
740ms
1150ms
GPT-6 Astra (410ms faster)
Generation Speed (Throughput)
74 tok/s
82 tok/s
OpenAI o3 (+8 tok/s faster)
SWE-bench Verified (Coding)
75.7%
71.7%
GPT-6 Astra (+4.0% lead)
GPQA Diamond (PhD STEM)
96%
87.7%
GPT-6 Astra (+8.3% lead)
MMLU-Pro (Multi-Discipline)
91.2%
89.8%
GPT-6 Astra (+1.4% lead)
MATH-500 (Quantitative Logic)
98%
98.6%
OpenAI o3 (+0.6% lead)
Inference Value Score (IVR)
47.6 / 100
60.6 / 100
OpenAI o3 (+13 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
OpenAI o3 is cheaper at $2.00/1M input tokens ($8.00/1M 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: GPT-6 Astra or OpenAI o3?
GPT-6 Astra delivers faster first-token latency at 740ms TTFT (74 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do GPT-6 Astra and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6 Astra scores 75.7% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, GPT-6 Astra scores 96% versus 87.7% for OpenAI o3 (and 98% vs 98.6% 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?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
