GPT-5.2 vs Claude Opus 4.6 vs Gemini 3 Pro — which to use in 2026
Choosing between GPT-5.2, Claude Opus 4.6 and Gemini 3 Pro is less about "which is best" and more about "which is best for this task". All three are excellent. Here's how they actually differ.
Reasoning and hard problems
Claude Opus 4.6 still leads on nuanced, multi-step reasoning and careful writing. When the cost of a wrong answer is high — legal analysis, architecture decisions, long documents — it's the safest pick.
GPT-5.2 is the most well-rounded. Strong reasoning, reliable tool use, broad knowledge. If you want one model that handles everything, start here.
Gemini 3 Pro trades a little raw reasoning for an enormous context window — ideal when you need to feed an entire codebase or document set in one shot.
Coding
For agentic coding, GPT-5.2 Codex and Claude Sonnet 4.6 are the two workhorses. Codex is tuned for long autonomous sessions; Sonnet 4.6 hits the best price/quality balance for day-to-day work.
Price (per 1M tokens)
| Model | Input | Output | Context |
|---|---|---|---|
| GPT-5.2 | $5 | $20 | 256K |
| Claude Opus 4.6 | $5 | $25 | 200K |
| Gemini 3 Pro | $2 | $12 | 1M |
Gemini 3 Pro is the cheapest of the three and has the largest context — a strong default when budget matters.
The real answer: don't commit
The honest move is to not pick one up front. With AnyModel you reach all three through a single OpenAI-compatible endpoint and one key — switch the model id per task and pay only for what you use. Use Opus for the hard call, Gemini Flash for the cheap bulk work, Codex for the refactor.
See the full model catalog or run the same prompt against two models on any comparison page.
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