GPT-4o 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-4o delivers lower response latency at 280ms TTFT (460ms faster than GPT-6 Astra) with 100 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 48.0% for GPT-4o and 96.0% vs. 53.6% 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
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$10.00
GPT-4o is 4.0x cheaper
Output Cost / 1M Tokens
$10.00
$50.00
GPT-4o (80.0% lower)
Prompt Cache Read / 1M
$1.250
$1.000
GPT-6 Astra is 1.3x cheaper
Prompt Cache Write / 1M
$2.50
$12.50
GPT-4o is 5.0x cheaper
Context Window (Max Output)
131k (16k out)
1,075k (128k out)
GPT-6 Astra (8.2x larger context)
Avg TTFT Response Latency
280ms
740ms
GPT-4o (460ms faster)
Generation Speed (Throughput)
100 tok/s
74 tok/s
GPT-4o (+26 tok/s faster)
SWE-bench Verified (Coding)
48%
75.7%
GPT-6 Astra (+27.7% lead)
GPQA Diamond (PhD STEM)
53.6%
96%
GPT-6 Astra (+42.4% lead)
MMLU-Pro (Multi-Discipline)
75.9%
91.2%
GPT-6 Astra (+15.3% lead)
MATH-500 (Quantitative Logic)
76.6%
98%
GPT-6 Astra (+21.4% lead)
Inference Value Score (IVR)
47.6 / 100
47.6 / 100
Identical IVR Score
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
GPT-4o 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-4o or GPT-6 Astra?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do GPT-4o and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o scores 48% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 96% for GPT-6 Astra (and 76.6% vs 98% on MATH-500).
When should you choose GPT-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M 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).
