Most people don’t need a flagship model. If you’re writing code, drafting content, or building automations, you’re probably choosing between GPT-4o and Claude Sonnet 4.6. Here’s how they actually stack up.
Quick Comparison
| GPT-4o | Claude Sonnet 4.6 | |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Release | May 2024 (updated) | Feb 17, 2026 |
| Context window | 128K tokens | 200K tokens (1M beta) |
| Max output | 16K tokens | 64K tokens |
| Input price | $2.50 / 1M tokens | $3.00 / 1M tokens |
| Output price | $10.00 / 1M tokens | $15.00 / 1M tokens |
| Long-context pricing | N/A | $6.00 / $22.50 above 200K |
| Vision | ✅ | ✅ |
| Tool use | ✅ | ✅ |
Coding
Sonnet 4.6 has a clear edge here. It consistently produces cleaner code with fewer iterations, especially for complex refactoring and multi-file changes. In data engineering benchmarks, Sonnet 4.6 outperformed GPT-4o on complex SQL and Python ETL tasks while being more cost-efficient for routine work.
GPT-4o is solid for quick scripts and boilerplate but tends to lose context on larger tasks.
Reasoning
GPT-4o is a strong generalist — it handles a wide range of tasks competently. Sonnet 4.6 pulls ahead on tasks that require following detailed instructions precisely. Its adaptive reasoning adjusts effort based on task complexity — simple questions get fast answers, hard problems get deeper thinking.
Context and Output
This is where Sonnet 4.6 wins decisively. The standard 200K context is already 56% larger than GPT-4o’s 128K, and the 1M beta context (available at premium pricing) is massive. Sonnet also outputs up to 64K tokens — 4x GPT-4o’s 16K limit. If you need long-form generation, that’s a big deal.
Price
GPT-4o is about 17% cheaper on input and 33% cheaper on output. For high-volume use cases, that adds up. But Sonnet’s larger output window means fewer API calls for long-form generation, which can offset the per-token cost.
Note: if you use Sonnet’s 1M beta context, pricing jumps to $6/$22.50 per million tokens for the long-context portion.
When to Use Each
Pick GPT-4o if you:
- Need the cheapest option for high-volume tasks
- Want faster response times for simple queries
- Are already deep in the OpenAI ecosystem
- Need real-time voice or audio features
Pick Claude Sonnet 4.6 if you:
- Write code professionally (it’s noticeably better)
- Work with large files or long conversations
- Need precise instruction following
- Want longer outputs without hitting limits
- Need computer use capabilities
The Bottom Line
For most developers, Sonnet 4.6 is the better daily driver. The coding quality, larger context window, and 4x output limit justify the small price premium. GPT-4o remains a solid choice if you’re cost-sensitive or need OpenAI-specific features.
Both are excellent models. The gap between them is smaller than the gap between either of them and models from two years ago.