# Claude 4.6 Sonnet vs GPT-4o: which LLM should you ship on?

**Source:** https://promtable.com/compare/claude-vs-gpt-4o

> Claude 4.6 Sonnet wins on long-context reasoning, code refactoring, and instruction-following; GPT-4o wins on multimodal, voice, and the broadest tooling ecosystem.

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Claude 4.6 Sonnet wins on long-context reasoning, code refactoring, and instruction-following; GPT-4o wins on multimodal, voice, and the broadest tooling ecosystem.

## At a glance

| Dimension | Claude 4.6 Sonnet | GPT-4o |
|---|---|---|
| Coding (SWE-bench Verified) | **Higher** ✓ | Strong but lower |
| Long-context recall (200K+) | **Better — fewer 'lost in middle' misses** ✓ | Degrades past ~120K |
| Instruction following | **Tightest** ✓ | Loose creative drift |
| Multimodal (image+audio+video) | Image input + extended thinking | **Native image, audio, vision, voice** ✓ |
| Voice mode | No native voice | **Real-time voice** ✓ |
| Tool ecosystem | Claude Agent SDK, MCP | **OpenAI Agents SDK, Assistants, huge ecosystem** ✓ |
| Price (input/output per 1M) | ~$3 / $15 | **~$2.5 / $10** ✓ |
| Refusal rate | Lower than 3.5 | **Lower** ✓ |
| Reasoning mode | Extended thinking | o-series separate |

## Verdict

For agents that read large codebases, follow style guides, and refactor without drifting, Claude 4.6 Sonnet is the dominant choice in 2026 — the SWE-bench gap and the long-context recall advantage are not subtle. For consumer-facing apps that need voice, image input, and the deepest third-party integrations, GPT-4o remains the pragmatic default. Many production stacks now route by task: GPT-4o for chat and multimodal UX, Claude for code, planning, and long-context summarisation.

## When to pick which

- **Claude 4.6 Sonnet** — Code agents, long-document analysis, strict instruction following, planning steps.
- **GPT-4o** — Voice apps, multimodal UX, broad tool ecosystem, cheapest per token.

## FAQ

### Is Claude 4.6 Sonnet better than GPT-4o for coding?

On public benchmarks (SWE-bench Verified, Aider, LiveCodeBench), Claude 4.6 Sonnet outperforms GPT-4o on real-world repository tasks. GPT-4o is competitive on isolated function completion but trails on multi-file refactors.

### Which model handles 1 million tokens better?

Neither natively supports 1M tokens in 2026; Gemini 2 Pro does. Within their respective windows, Claude 4.6 has noticeably better mid-context recall than GPT-4o.

### Is Claude or GPT-4o cheaper at scale?

GPT-4o is cheaper per million tokens. For long-context jobs Claude can still be cheaper end-to-end because it needs fewer retries.

## Related

- [/glossary/reasoning-model](https://promtable.com/glossary/reasoning-model)
- [/glossary/context-window](https://promtable.com/glossary/context-window)
- [/glossary/agent](https://promtable.com/glossary/agent)
- [/compare/gpt-4o-vs-gemini-2-pro](https://promtable.com/compare/gpt-4o-vs-gemini-2-pro)

*Last updated: 2026-06-01*
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