GPT-5 is 75.0% cheaper for input tokens ($2.50 vs. $10.00 per 1M tokens) and $10.00 vs. $50.00 for output tokens (4.0x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (400ms faster than GPT-6 Astra) with 105 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 74.9% for GPT-5 and 96.0% vs. 85.4% 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-5
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$10.00
GPT-5 is 4.0x cheaper
Output Cost / 1M Tokens
$10.00
$50.00
GPT-5 (80.0% lower)
Prompt Cache Read / 1M
$0.625
$1.000
GPT-5 is 1.6x cheaper
Prompt Cache Write / 1M
$2.50
$12.50
GPT-5 is 5.0x cheaper
Context Window (Max Output)
410k (128k out)
1,075k (128k out)
GPT-6 Astra (2.6x larger context)
Avg TTFT Response Latency
340ms
740ms
GPT-5 (400ms faster)
Generation Speed (Throughput)
105 tok/s
74 tok/s
GPT-5 (+31 tok/s faster)
SWE-bench Verified (Coding)
74.9%
75.7%
GPT-6 Astra (+0.8% lead)
GPQA Diamond (PhD STEM)
85.4%
96%
GPT-6 Astra (+10.6% lead)
MMLU-Pro (Multi-Discipline)
90.8%
91.2%
GPT-6 Astra (+0.4% lead)
MATH-500 (Quantitative Logic)
98%
98%
Comparable Score
Inference Value Score (IVR)
59.2 / 100
47.6 / 100
GPT-5 (+11.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
GPT-5 is cheaper at $2.50/1M 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: GPT-5 or GPT-6 Astra?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do GPT-5 and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-5 scores 74.9% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, GPT-5 scores 85.4% versus 96% for GPT-6 Astra (and 98% vs 98% on MATH-500).
When should you choose GPT-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M 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).
