Which model is better: Claude 3.7 Sonnet or GPT-4o Mini?
GPT-4o Mini is 95.0% cheaper for input tokens ($0.15 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (20.0x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (320ms faster than Claude 3.7 Sonnet) with 140 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 78.5% vs. 40.2% 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 Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$0.15
GPT-4o Mini is 20.0x cheaper
Output Cost / 1M Tokens
$15.00
$0.60
GPT-4o Mini (96.0% lower)
Prompt Cache Read / 1M
$0.300
$0.075
GPT-4o Mini is 4.0x cheaper
Prompt Cache Write / 1M
$3.75
$0.15
GPT-4o Mini is 25.0x cheaper
Context Window (Max Output)
205k (64k out)
131k (16k out)
Claude 3.7 Sonnet (1.6x larger context)
Avg TTFT Response Latency
540ms
220ms
GPT-4o Mini (320ms faster)
Generation Speed (Throughput)
72 tok/s
140 tok/s
GPT-4o Mini (+68 tok/s faster)
SWE-bench Verified (Coding)
70.3%
41%
Claude 3.7 Sonnet (+29.3% lead)
GPQA Diamond (PhD STEM)
78.5%
40.2%
Claude 3.7 Sonnet (+38.3% lead)
MMLU-Pro (Multi-Discipline)
88%
68%
Claude 3.7 Sonnet (+20.0% lead)
MATH-500 (Quantitative Logic)
96.2%
70.2%
Claude 3.7 Sonnet (+26.0% lead)
Inference Value Score (IVR)
54.3 / 100
67.2 / 100
GPT-4o Mini (+12.9 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 3.7 Sonnet or GPT-4o Mini?
GPT-4o Mini is cheaper at $0.15/1M input tokens ($0.60/1M 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 Mini?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 540ms TTFT (72 tok/s) for Claude 3.7 Sonnet.
How do Claude 3.7 Sonnet and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 40.2% for GPT-4o Mini (and 96.2% vs 70.2% 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 Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
