Which model is better: Claude Opus 5.5 or GPT-6 Astra?
Claude Opus 5.5 is 60.0% cheaper for input tokens ($4.00 vs. $10.00 per 1M tokens) and $20.00 vs. $50.00 for output tokens (2.5x cost advantage). In terms of operational performance, Claude Opus 5.5 delivers lower response latency at 680ms TTFT (60ms faster than GPT-6 Astra) with 95 vs. 74 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 75.7% for GPT-6 Astra and 93.2% 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 Opus 5.5
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$4.00
$10.00
Claude Opus 5.5 is 2.5x cheaper
Output Cost / 1M Tokens
$20.00
$50.00
Claude Opus 5.5 (60.0% lower)
Prompt Cache Read / 1M
$0.200
$1.000
Claude Opus 5.5 is 5.0x cheaper
Prompt Cache Write / 1M
$5.00
$12.50
Claude Opus 5.5 is 2.5x cheaper
Context Window (Max Output)
1,024k (128k out)
1,075k (128k out)
GPT-6 Astra (1.1x larger context)
Avg TTFT Response Latency
680ms
740ms
Claude Opus 5.5 (60ms faster)
Generation Speed (Throughput)
95 tok/s
74 tok/s
Claude Opus 5.5 (+21 tok/s faster)
SWE-bench Verified (Coding)
89.9%
75.7%
Claude Opus 5.5 (+14.2% lead)
GPQA Diamond (PhD STEM)
93.2%
96%
GPT-6 Astra (+2.8% lead)
MMLU-Pro (Multi-Discipline)
92.1%
91.2%
Claude Opus 5.5 (+0.9% lead)
MATH-500 (Quantitative Logic)
98%
98%
Comparable Score
Inference Value Score (IVR)
57.8 / 100
47.6 / 100
Claude Opus 5.5 (+10.2 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M cached reads).
Claude Opus 5.5 is cheaper at $4.00/1M input tokens ($20.00/1M 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: Claude Opus 5.5 or GPT-6 Astra?
Claude Opus 5.5 delivers faster first-token latency at 680ms TTFT (95 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do Claude Opus 5.5 and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 96% for GPT-6 Astra (and 98% vs 98% on MATH-500).
When should you choose Claude Opus 5.5?
Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M 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).
