Which model is better: Claude 3.7 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 (200ms faster than Claude 3.7 Sonnet) with 105 vs. 72 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 85.4% vs. 78.5% 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 3.7 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 3.7 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
540ms
340ms
GPT-5 (200ms faster)
Generation Speed (Throughput)
72 tok/s
105 tok/s
GPT-5 (+33 tok/s faster)
SWE-bench Verified (Coding)
70.3%
74.9%
GPT-5 (+4.6% lead)
GPQA Diamond (PhD STEM)
78.5%
85.4%
GPT-5 (+6.9% lead)
MMLU-Pro (Multi-Discipline)
88%
90.8%
GPT-5 (+2.8% lead)
MATH-500 (Quantitative Logic)
96.2%
98%
GPT-5 (+1.8% lead)
Inference Value Score (IVR)
54.3 / 100
59.2 / 100
GPT-5 (+4.9 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 3.7 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.7 Sonnet or GPT-5?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 540ms TTFT (72 tok/s) for Claude 3.7 Sonnet.
How do Claude 3.7 Sonnet and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 85.4% for GPT-5 (and 96.2% vs 98% on MATH-500).
When should you choose Claude 3.7 Sonnet?
Choose Claude 3.7 Sonnet (Anthropic) for full-stack repository development, complex code refactoring, and agentic tool use with predictable prompt cache economics — offering a 204k context window, 540ms 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).
