Claude 3.7 Sonnet vs GPT-4o API Pricing & Coding Benchmark 2026

Compare Claude 3.7 Sonnet vs OpenAI GPT-4o: SWE-bench verified coding IQ, prompt caching economics (90% read discount), and token speed.

Claude 3.7 Sonnet (Anthropic)

70.3% SWE-bench

Input Token Price	$3.00 / 1M tokens
Prompt Cache Write	$3.75 / 1M tokens (5-min TTL)
Prompt Cache Read	$0.30 / 1M tokens (90% discount)
Output Token Price	$15.00 / 1M tokens
Context Window	200K tokens
SWE-bench Verified	70.3% (State-of-the-Art)
Hybrid Reasoning	Configurable thinking budget

OpenAI GPT-4o (Omni)

38.8% SWE-bench

Input Token Price	$2.50 / 1M tokens
Prompt Cache Write	Standard input rate
Prompt Cache Read	$1.25 / 1M tokens (50% discount)
Output Token Price	$10.00 / 1M tokens
Context Window	128K tokens
SWE-bench Verified	38.8%
Audio/Vision Native	Yes (Realtime API)

Developer Intelligence vs Unit Economics Verdict

While GPT-4o has a slightly lower headline rate ($2.50 in / $10.00 out vs $3.00 in / $15.00 out), Claude 3.7 Sonnet dominates on software engineering benchmarks (70.3% vs 38.8% on SWE-bench Verified). Furthermore, Anthropic's aggressive 90% prompt caching discount ($0.30/M read) makes Claude 3.7 significantly cheaper for large codebases, developer IDE plugins, and agentic loops that repeatedly access documentation.

Community Telemetry Check

"r/LocalLLaMA: 'For coding agents, Claude 3.7 Sonnet with cached repo context writes cleaner pull requests on the first pass than GPT-4o after 3 correction loops. The lower failure rate actually saves money.'"

Frequently Asked Developer Questions

How does Anthropic's 5-minute prompt cache work?

Anthropic caches prompt segments longer than 1,024 tokens for 5 minutes. While writing to cache costs $3.75/M, all subsequent cache reads within 5 minutes cost only $0.30/M, yielding a 90% savings.

What is hybrid thinking in Claude 3.7 Sonnet?

Claude 3.7 allows developers to set a precise thinking budget (e.g. 1,000 to 32,000 tokens). You can dial reasoning effort up for complex algorithm design or down for routine JSON extraction to control cost.

Which model is better for multimodal vision tasks?

GPT-4o remains highly cost-effective for high-frequency video frame processing and realtime voice, whereas Claude 3.7 excels at complex diagram parsing and architectural review.