Which model is better: Claude 3.5 Sonnet or GPT-6 Astra?
Claude 3.5 Sonnet is 70.0% cheaper for input tokens ($3.00 vs. $10.00 per 1M tokens) and $15.00 vs. $50.00 for output tokens (3.3x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (430ms faster than GPT-6 Astra) with 80 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 96.0% vs. 59.4% 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
Claude 3.5 Sonnet
GPT-6 Astra
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$10.00
Claude 3.5 Sonnet is 3.3x cheaper
Output Cost / 1M Tokens
$15.00
$50.00
Claude 3.5 Sonnet (70.0% lower)
Prompt Cache Read / 1M
$0.300
$1.000
Claude 3.5 Sonnet is 3.3x cheaper
Prompt Cache Write / 1M
$3.75
$12.50
Claude 3.5 Sonnet is 3.3x cheaper
Context Window (Max Output)
205k (8k out)
1,075k (128k out)
GPT-6 Astra (5.3x larger context)
Avg TTFT Response Latency
310ms
740ms
Claude 3.5 Sonnet (430ms faster)
Generation Speed (Throughput)
80 tok/s
74 tok/s
Claude 3.5 Sonnet (+6 tok/s faster)
SWE-bench Verified (Coding)
49%
75.7%
GPT-6 Astra (+26.7% lead)
GPQA Diamond (PhD STEM)
59.4%
96%
GPT-6 Astra (+36.6% lead)
MMLU-Pro (Multi-Discipline)
78%
91.2%
GPT-6 Astra (+13.2% lead)
MATH-500 (Quantitative Logic)
78.3%
98%
GPT-6 Astra (+19.7% lead)
Inference Value Score (IVR)
46.2 / 100
47.6 / 100
GPT-6 Astra (+1.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Claude 3.5 Sonnet or GPT-6 Astra?
Claude 3.5 Sonnet is cheaper at $3.00/1M input tokens ($15.00/1M 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 3.5 Sonnet or GPT-6 Astra?
Claude 3.5 Sonnet delivers faster first-token latency at 310ms TTFT (80 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do Claude 3.5 Sonnet and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Sonnet scores 49% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Sonnet scores 59.4% versus 96% for GPT-6 Astra (and 78.3% vs 98% on MATH-500).
When should you choose Claude 3.5 Sonnet?
Choose Claude 3.5 Sonnet (Anthropic) for legacy enterprise workflows, code review pipelines, and human-like content generation — offering a 204k context window, 310ms TTFT, and $3.00/1M input pricing ($0.300/1M 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).
