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What this guide covers
This guide covers the three serious frontier models worth paying for in 2026: Claude Opus 4.7, GPT-5, and Gemini 3.1 Pro Preview. Each gets a dedicated review. The head-to-head comparison runs them through seven real tasks. The recommendation at the bottom synthesizes all of it into a single buying decision.
Reviews
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Claude Opus 4.7, reviewed
Anthropic's strongest model for coding, document analysis, and multilingual capability. At $5 / $25 per million input/output tokens, Opus pulls clearly ahead of every alternative on architectural reasoning where a wrong answer costs more than the model fee.
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GPT-5, reviewed
Five months past launch. The dust has settled. GPT-5 is the fastest of the three, most natural at conversational English, strongest on math benchmarks, and most likely to be confidently wrong on technical questions outside its zone.
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Gemini 3 Pro, reviewed
Brilliant at one specific job, anything combining vision with reasoning. Average at most others. Weird in places no one talks about. The 2M context window and Workspace integration are real wins.
Comparisons
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GPT-5 vs Claude Opus 4.7: seven tasks, scored
Seven tasks. Same prompts. Same machine. Claude wins five, GPT-5 wins one decisively, one tie. The scoreboard looks one-sided. Using both side by side feels closer than that.
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Multimodal capability ranking: twelve images, four models
Vision tested across Claude, GPT-5, Gemini 3, and Llama 4. Gemini 3.1 Pro Preview wins 5 of 8 multimodal tasks. The gap on dense UIs, document images, and Arabic script is wide.
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The price-per-use-case table
Six workloads, three frontier models, the cheapest pick for each. Output tokens cost 3–5× input on every model, the math most teams get wrong.
Which one should you use?
If you have to pick one frontier model and only one, pick Claude Opus 4.7. It loses the visual-design category to GPT-5 and the vision category to Gemini, but it wins or ties on everything else. The reasoning quality, the architectural taste in code, and the honesty when it's uncertain — those properties matter every day for the kinds of work most readers do.
If you can run two: Opus plus GPT-5. About $40 a month combined at typical usage. The combination handles the full spread of work better than either alone.
If you have a vision-heavy stack (screenshots, PDFs, document images), add Gemini 3.1 Pro Preview as the third model. The $5 / $40 per million pricing is the most reasonable in the frontier tier, and the vision quality is a clear step above the alternatives.
For deeper context: the comparison tool lets you pick any of these models and any dimension to compare, with a downloadable PDF. The cost guide covers pricing dynamics in detail.