Claude Extended Thinking vs OpenAI o3 vs Gemini Reasoning (2026)

Short answer: all three are "reasoning" modes that let a model think longer before answering — trading latency and cost for accuracy on hard math, coding, and multi-step logic. OpenAI's o-series (o3) is the dedicated reasoning line. Claude's extended thinking adds a visible, controllable reasoning budget to a general model. Gemini's thinking mode brings reasoning to Google's multimodal, long-context family. For the hardest reasoning, the o-series and Claude are the usual front-runners; Gemini shines when you also need huge context or native multimodality.

At a glance

Claude (extended thinking)OpenAI o3Gemini (thinking)

VendorAnthropicOpenAIGoogle ApproachReasoning budget on a general modelDedicated reasoning modelThinking mode on Gemini Visible reasoningYes (thinking output)SummarizedVaries EdgeCoding + transparent stepsMath/logic benchmarksLong context + multimodal

What "reasoning" actually buys you

These modes run extra internal computation before the final answer. On easy prompts that's wasted latency and tokens; on hard ones (competition math, tricky algorithms, multi-constraint planning) it materially raises accuracy. The skill is routing: use a fast non-reasoning model for routine calls, escalate to a reasoning mode for the hard 10%.

Claude extended thinking exposes a controllable thinking budget and tends to be strong on coding — pair it with the lineup in Claude 系列对比.

OpenAI o3 is the dedicated reasoning model, generally a leader on math/logic benchmarks; see GPT / OpenAI 系列对比.

Gemini thinking brings reasoning to a family built for massive context and multimodal input — the pick when the problem also involves long documents or images.

How to choose

Hardest math/logic, benchmark-topping reasoning? o3.

Reasoning + strong coding + transparent steps? Claude extended thinking.

Reasoning over huge context or multimodal inputs? Gemini.

Just need fast everyday answers? Use a non-reasoning model and save the budget.

These models power autonomous coding agents too — see Windsurf vs Devin vs SWE-agent. Compare the full current lineup in our 模型库.

FAQ

Are reasoning models always better? No — they're slower and pricier. They win on genuinely hard, multi-step problems, not routine prompts. Can I see the reasoning? Claude exposes thinking output; OpenAI summarizes it; Gemini varies. Which is cheapest? Non-reasoning models are far cheaper; among reasoning modes, costs vary — check current pricing.

Verdict

Match the mode to the problem. For the toughest pure-reasoning tasks, o3 and Claude's extended thinking lead; Gemini's thinking mode is compelling when long context or multimodality is also in play. The biggest practical win isn't picking one — it's routing only the hard problems to a reasoning model and keeping everything else fast and cheap.

---

*Last updated: June 2026. Reasoning models evolve quickly; verify current benchmarks and pricing in our 模型库 and each vendor's site.*