Which model is better: Claude 3.7 Sonnet or GPT-4o?
GPT-4o 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-4o delivers lower response latency at 280ms TTFT (260ms faster than Claude 3.7 Sonnet) with 100 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 48.0% for GPT-4o and 78.5% vs. 53.6% 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-4o
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$2.50
GPT-4o is 1.2x cheaper
Output Cost / 1M Tokens
$15.00
$10.00
GPT-4o (33.3% lower)
Prompt Cache Read / 1M
$0.300
$1.250
Claude 3.7 Sonnet is 4.2x cheaper
Prompt Cache Write / 1M
$3.75
$2.50
GPT-4o is 1.5x cheaper
Context Window (Max Output)
205k (64k out)
131k (16k out)
Claude 3.7 Sonnet (1.6x larger context)
Avg TTFT Response Latency
540ms
280ms
GPT-4o (260ms faster)
Generation Speed (Throughput)
72 tok/s
100 tok/s
GPT-4o (+28 tok/s faster)
SWE-bench Verified (Coding)
70.3%
48%
Claude 3.7 Sonnet (+22.3% lead)
GPQA Diamond (PhD STEM)
78.5%
53.6%
Claude 3.7 Sonnet (+24.9% lead)
MMLU-Pro (Multi-Discipline)
88%
75.9%
Claude 3.7 Sonnet (+12.1% lead)
MATH-500 (Quantitative Logic)
96.2%
76.6%
Claude 3.7 Sonnet (+19.6% lead)
Inference Value Score (IVR)
54.3 / 100
47.6 / 100
Claude 3.7 Sonnet (+6.7 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
GPT-4o 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-4o?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 540ms TTFT (72 tok/s) for Claude 3.7 Sonnet.
How do Claude 3.7 Sonnet and GPT-4o compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 48% for GPT-4o. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 53.6% for GPT-4o (and 96.2% vs 76.6% 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-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).
