Which model is better: Claude 4.5 Sonnet or GPT-5?
GPT-5 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, GPT-5 delivers lower response latency at 340ms TTFT (40ms faster than Claude 4.5 Sonnet) with 105 vs. 84 tok/s throughput. Claude 4.5 Sonnet leads coding evaluations at 75.8% SWE-bench Verified vs. 74.9% for GPT-5 and 84.2% vs. 85.4% 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 4.5 Sonnet
GPT-5
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$2.50
GPT-5 is 1.2x cheaper
Output Cost / 1M Tokens
$15.00
$10.00
GPT-5 (33.3% lower)
Prompt Cache Read / 1M
$0.300
$0.625
Claude 4.5 Sonnet is 2.1x cheaper
Prompt Cache Write / 1M
$3.75
$2.50
GPT-5 is 1.5x cheaper
Context Window (Max Output)
205k (64k out)
410k (128k out)
GPT-5 (2.0x larger context)
Avg TTFT Response Latency
380ms
340ms
GPT-5 (40ms faster)
Generation Speed (Throughput)
84 tok/s
105 tok/s
GPT-5 (+21 tok/s faster)
SWE-bench Verified (Coding)
75.8%
74.9%
Claude 4.5 Sonnet (+0.9% lead)
GPQA Diamond (PhD STEM)
84.2%
85.4%
GPT-5 (+1.2% lead)
MMLU-Pro (Multi-Discipline)
90.4%
90.8%
GPT-5 (+0.4% lead)
MATH-500 (Quantitative Logic)
97.5%
98%
GPT-5 (+0.5% lead)
Inference Value Score (IVR)
56.5 / 100
59.2 / 100
GPT-5 (+2.7 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
GPT-5 is cheaper at $2.50/1M input tokens ($10.00/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 4.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4.5 Sonnet or GPT-5?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 380ms TTFT (84 tok/s) for Claude 4.5 Sonnet.
How do Claude 4.5 Sonnet and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4.5 Sonnet scores 75.8% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, Claude 4.5 Sonnet scores 84.2% versus 85.4% for GPT-5 (and 97.5% vs 98% on MATH-500).
When should you choose Claude 4.5 Sonnet?
Choose Claude 4.5 Sonnet (Anthropic) for end-to-end autonomous coding agents, complex multi-file debugging, browser/GUI automation, and high-precision technical writing — offering a 204k context window, 380ms TTFT, and $3.00/1M input pricing ($0.300/1M cached reads).
When should you choose GPT-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M cached reads).
