Which model is better: Claude 3.7 Sonnet or OpenAI o3-mini?
OpenAI o3-mini is 63.3% cheaper for input tokens ($1.10 vs. $3.00 per 1M tokens) and $4.40 vs. $15.00 for output tokens (2.7x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (410ms faster than OpenAI o3-mini) with 72 vs. 98 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 78.5% vs. 79.7% 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
OpenAI o3-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$1.10
OpenAI o3-mini is 2.7x cheaper
Output Cost / 1M Tokens
$15.00
$4.40
OpenAI o3-mini (70.7% lower)
Prompt Cache Read / 1M
$0.300
$0.550
Claude 3.7 Sonnet is 1.8x cheaper
Prompt Cache Write / 1M
$3.75
$1.10
OpenAI o3-mini is 3.4x cheaper
Context Window (Max Output)
205k (64k out)
205k (100k out)
Equal Context Window
Avg TTFT Response Latency
540ms
950ms
Claude 3.7 Sonnet (410ms faster)
Generation Speed (Throughput)
72 tok/s
98 tok/s
OpenAI o3-mini (+26 tok/s faster)
SWE-bench Verified (Coding)
70.3%
49.3%
Claude 3.7 Sonnet (+21.0% lead)
GPQA Diamond (PhD STEM)
78.5%
79.7%
OpenAI o3-mini (+1.2% lead)
MMLU-Pro (Multi-Discipline)
88%
83.2%
Claude 3.7 Sonnet (+4.8% lead)
MATH-500 (Quantitative Logic)
96.2%
97.9%
OpenAI o3-mini (+1.7% lead)
Inference Value Score (IVR)
54.3 / 100
59.7 / 100
OpenAI o3-mini (+5.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
Which is cheaper: Claude 3.7 Sonnet or OpenAI o3-mini?
OpenAI o3-mini is cheaper at $1.10/1M input tokens ($4.40/1M 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 OpenAI o3-mini?
Claude 3.7 Sonnet delivers faster first-token latency at 540ms TTFT (72 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do Claude 3.7 Sonnet and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 79.7% for OpenAI o3-mini (and 96.2% vs 97.9% 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 OpenAI o3-mini?
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
