GPT-6 Astra is 33.3% cheaper for input tokens ($10.00 vs. $15.00 per 1M tokens) and $50.00 vs. $60.00 for output tokens (1.5x cost advantage). In terms of operational performance, GPT-6 Astra delivers lower response latency at 740ms TTFT (1860ms faster than o1) with 74 vs. 48 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 48.9% for o1 and 96.0% vs. 78.0% 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
GPT-6 Astra
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$10.00
$15.00
GPT-6 Astra is 1.5x cheaper
Output Cost / 1M Tokens
$50.00
$60.00
GPT-6 Astra (16.7% lower)
Prompt Cache Read / 1M
$1.000
$7.500
GPT-6 Astra is 7.5x cheaper
Prompt Cache Write / 1M
$12.50
$15.00
GPT-6 Astra is 1.2x cheaper
Context Window (Max Output)
1,075k (128k out)
205k (100k out)
GPT-6 Astra (5.3x larger context)
Avg TTFT Response Latency
740ms
2600ms
GPT-6 Astra (1860ms faster)
Generation Speed (Throughput)
74 tok/s
48 tok/s
GPT-6 Astra (+26 tok/s faster)
SWE-bench Verified (Coding)
75.7%
48.9%
GPT-6 Astra (+26.8% lead)
GPQA Diamond (PhD STEM)
96%
78%
GPT-6 Astra (+18.0% lead)
MMLU-Pro (Multi-Discipline)
91.2%
83.3%
GPT-6 Astra (+7.9% lead)
MATH-500 (Quantitative Logic)
98%
96.4%
GPT-6 Astra (+1.6% lead)
Inference Value Score (IVR)
47.6 / 100
37.2 / 100
GPT-6 Astra (+10.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
GPT-6 Astra is cheaper at $10.00/1M input tokens ($50.00/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: GPT-6 Astra or o1?
GPT-6 Astra delivers faster first-token latency at 740ms TTFT (74 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do GPT-6 Astra and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6 Astra scores 75.7% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, GPT-6 Astra scores 96% versus 78% for o1 (and 98% vs 96.4% 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 o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
