Which model is better: Claude 4 Opus or GPT-6 Astra?
GPT-6 Astra is 33.3% cheaper for input tokens ($10.00 vs. $15.00 per 1M tokens) and $50.00 vs. $75.00 for output tokens (1.5x cost advantage). In terms of operational performance, GPT-6 Astra delivers lower response latency at 740ms TTFT (180ms faster than Claude 4 Opus) with 74 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 75.7% for GPT-6 Astra and 87.1% vs. 96.0% 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
Claude 4 Opus
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$15.00
$10.00
GPT-6 Astra is 1.5x cheaper
Output Cost / 1M Tokens
$75.00
$50.00
GPT-6 Astra (33.3% lower)
Prompt Cache Read / 1M
$1.500
$1.000
GPT-6 Astra is 1.5x cheaper
Prompt Cache Write / 1M
$18.75
$12.50
GPT-6 Astra is 1.5x cheaper
Context Window (Max Output)
205k (64k out)
1,075k (128k out)
GPT-6 Astra (5.3x larger context)
Avg TTFT Response Latency
920ms
740ms
GPT-6 Astra (180ms faster)
Generation Speed (Throughput)
46 tok/s
74 tok/s
GPT-6 Astra (+28 tok/s faster)
SWE-bench Verified (Coding)
77.2%
75.7%
Claude 4 Opus (+1.5% lead)
GPQA Diamond (PhD STEM)
87.1%
96%
GPT-6 Astra (+8.9% lead)
MMLU-Pro (Multi-Discipline)
91.8%
91.2%
Claude 4 Opus (+0.6% lead)
MATH-500 (Quantitative Logic)
98.1%
98%
Claude 4 Opus (+0.1% lead)
Inference Value Score (IVR)
43.6 / 100
47.6 / 100
GPT-6 Astra (+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 ($75.00/1M output) for Claude 4 Opus.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4 Opus or GPT-6 Astra?
GPT-6 Astra delivers faster first-token latency at 740ms TTFT (74 tok/s throughput) compared to 920ms TTFT (46 tok/s) for Claude 4 Opus.
How do Claude 4 Opus and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4 Opus scores 77.2% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Claude 4 Opus scores 87.1% versus 96% for GPT-6 Astra (and 98.1% vs 98% on MATH-500).
When should you choose Claude 4 Opus?
Choose Claude 4 Opus (Anthropic) for mission-critical R&D, long-horizon autonomous coding tasks, complex theorem proving, and executive strategic synthesis — offering a 204k context window, 920ms TTFT, and $15.00/1M input pricing ($1.500/1M 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).
