GPT-5 vs Claude Sonnet 4.6
The two most popular mid-tier AI models. Compare pricing, context windows, and find the best value for your production workloads.
Pricing data verified: Jun 8, 2026
| Specification | GPT-5 (OpenAI) | Claude Sonnet 4.6 (Anthropic) |
|---|---|---|
| Input Price (per 1M tokens) | $1.25 | $3.00 |
| Output Price (per 1M tokens) | $10.00 | $15.00 |
| Context Window | 272K tokens | 1M tokens |
| Tier | Mid | Mid |
| Provider | OpenAI | Anthropic |
| Input Savings vs Other | 58% cheaper | 3.7x context |
Calculate Your Exact Costs
The mid-tier sweet spot — capable enough for production, affordable enough for scale.
Other Mid-Tier Models
Which Mid-Tier Model for Which Use Case?
SaaS Chatbot
Customer-facing chatbot for your product. High volume, cost-sensitive. GPT-5's 58% cheaper input pricing makes a huge difference at scale.
Long Document Analysis
Processing documents over 272K tokens — legal contracts, research papers, codebases. Only Claude Sonnet 4.6's 1M context handles this.
Code Assistant
AI-powered coding help, code review, refactoring. Both models are strong. GPT-5 offers better cost per request for high-volume use.
Content Generation
Blog posts, marketing copy, product descriptions. Both handle this well. GPT-5 at $1.25/$10 vs Sonnet 4.6 at $3/$15 — GPT-5 is 58% cheaper on input.
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Frequently Asked Questions
Is GPT-5 cheaper than Claude Sonnet 4.6?
Yes, significantly. GPT-5 costs $1.25/M input and $10/M output. Claude Sonnet 4.6 costs $3/M input and $15/M output. GPT-5 is 58% cheaper on input and 33% cheaper on output. For a typical workload of 1M input + 500K output tokens/month, GPT-5 costs $6.25 vs Claude Sonnet 4.6's $10.50.
Which has a larger context window?
Claude Sonnet 4.6 has a much larger context window at 1M tokens compared to GPT-5's 272K tokens. If your use case involves processing very long documents or extended conversations, Claude Sonnet 4.6 gives you 3.7x more context.
When should I choose Claude Sonnet 4.6 over GPT-5?
Choose Claude Sonnet 4.6 when you need: (1) Large context windows over 272K tokens, (2) Tasks where Anthropic's training gives better results (nuanced writing, long-form analysis), (3) Projects already using the Anthropic ecosystem. For most cost-sensitive workloads, GPT-5 offers better value per dollar.
Can I mix GPT-5 and Claude Sonnet 4.6 to optimize costs?
Yes. Use GPT-5 for most requests (58% cheaper input) and route long-context tasks (>272K tokens) to Claude Sonnet 4.6. This multi-model strategy can save 30-50% vs using Claude Sonnet 4.6 for everything.