Claude 3.7 Sonnet is 80.0% cheaper for input tokens ($3.00 vs. $15.00 per 1M tokens) and $15.00 vs. $60.00 for output tokens (5.0x cost advantage). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (2060ms faster than o1) with 72 vs. 48 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 48.9% for o1 and 78.5% vs. 78.0% 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
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$15.00
Claude 3.7 Sonnet is 5.0x cheaper
Output Cost / 1M Tokens
$15.00
$60.00
Claude 3.7 Sonnet (75.0% lower)
Prompt Cache Read / 1M
$0.300
$7.500
Claude 3.7 Sonnet is 25.0x cheaper
Prompt Cache Write / 1M
$3.75
$15.00
Claude 3.7 Sonnet is 4.0x cheaper
Context Window (Max Output)
205k (64k out)
205k (100k out)
Equal Context Window
Avg TTFT Response Latency
540ms
2600ms
Claude 3.7 Sonnet (2060ms faster)
Generation Speed (Throughput)
72 tok/s
48 tok/s
Claude 3.7 Sonnet (+24 tok/s faster)
SWE-bench Verified (Coding)
70.3%
48.9%
Claude 3.7 Sonnet (+21.4% lead)
GPQA Diamond (PhD STEM)
78.5%
78%
Claude 3.7 Sonnet (+0.5% lead)
MMLU-Pro (Multi-Discipline)
88%
83.3%
Claude 3.7 Sonnet (+4.7% lead)
MATH-500 (Quantitative Logic)
96.2%
96.4%
o1 (+0.2% lead)
Inference Value Score (IVR)
54.3 / 100
37.2 / 100
Claude 3.7 Sonnet (+17.1 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Claude 3.7 Sonnet is cheaper at $3.00/1M input tokens ($15.00/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.7 Sonnet or o1?
Claude 3.7 Sonnet delivers faster first-token latency at 540ms TTFT (72 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do Claude 3.7 Sonnet and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 78% for o1 (and 96.2% vs 96.4% 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 o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
