Which model is better: GPT-6 Astra or OpenAI o4-mini?
OpenAI o4-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, OpenAI o4-mini delivers lower response latency at 680ms TTFT (60ms faster than GPT-6 Astra) with 125 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 68.1% for OpenAI o4-mini and 96.0% vs. 81.4% 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-6 Astra
OpenAI o4-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$10.00
$1.10
OpenAI o4-mini is 9.1x cheaper
Output Cost / 1M Tokens
$50.00
$4.40
OpenAI o4-mini (91.2% lower)
Prompt Cache Read / 1M
$1.000
$0.275
OpenAI o4-mini is 3.6x cheaper
Prompt Cache Write / 1M
$12.50
$1.10
OpenAI o4-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
680ms
OpenAI o4-mini (60ms faster)
Generation Speed (Throughput)
74 tok/s
125 tok/s
OpenAI o4-mini (+51 tok/s faster)
SWE-bench Verified (Coding)
75.7%
68.1%
GPT-6 Astra (+7.6% lead)
GPQA Diamond (PhD STEM)
96%
81.4%
GPT-6 Astra (+14.6% lead)
MMLU-Pro (Multi-Discipline)
91.2%
85.6%
GPT-6 Astra (+5.6% lead)
MATH-500 (Quantitative Logic)
98%
97.8%
GPT-6 Astra (+0.2% lead)
Inference Value Score (IVR)
47.6 / 100
63.7 / 100
OpenAI o4-mini (+16.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
OpenAI o4-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 o4-mini?
OpenAI o4-mini delivers faster first-token latency at 680ms TTFT (125 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do GPT-6 Astra and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6 Astra scores 75.7% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, GPT-6 Astra scores 96% versus 81.4% for OpenAI o4-mini (and 98% vs 97.8% 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 o4-mini?
Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
