Comparison

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

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

DimensionClaude 4.6 SonnetGPT-4o
Coding (SWE-bench Verified)HigherWINStrong but lower
Long-context recall (200K+)Better — fewer 'lost in middle' missesWINDegrades past ~120K
Instruction followingTightestWINLoose creative drift
Multimodal (image+audio+video)Image input + extended thinkingNative image, audio, vision, voiceWIN
Voice modeNo native voiceReal-time voiceWIN
Tool ecosystemClaude Agent SDK, MCPOpenAI Agents SDK, Assistants, huge ecosystemWIN
Price (input/output per 1M)~$3 / $15~$2.5 / $10WIN
Refusal rateLower than 3.5LowerWIN
Reasoning modeExtended thinkingo-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

Pick Claude 4.6 Sonnet

Code agents, long-document analysis, strict instruction following, planning steps.

Pick 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.

Last updated: 2026-06-01.