{"id":16741,"date":"2026-07-22T05:36:20","date_gmt":"2026-07-22T09:36:20","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=16741"},"modified":"2026-07-22T05:41:35","modified_gmt":"2026-07-22T09:41:35","slug":"gemini-3-6-flash-vs-gemini-3-1-pro","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/id\/hub\/gemini-3-6-flash-vs-gemini-3-1-pro","title":{"rendered":"Gemini 3.6 Flash vs Gemini 3.1 Pro: Harga, Uji Kinerja, dan 6 Uji dengan Prompt yang Sama"},"content":{"rendered":"

Gemini 3.6 Flash<\/strong> did not land quietly. Google released it as a faster, more efficient Flash model, but a lot of people had the same reaction: wait, where is the Pro upgrade?<\/p>\n\n\n\n

That makes the comparison more interesting than a normal spec sheet. Gemini 3.6 Flash <\/strong>is supposed to be cheaper, faster, and stronger for coding, agents, and everyday multimodal work. Gemini 3.1 Pro,<\/strong> meanwhile, still carries the “Pro” label and is positioned around deeper reasoning and harder tasks.<\/p>\n\n\n\n

So we tested them the only way that actually matters: same task, same prompt, same input, same scoring rules.<\/strong><\/p>\n\n\n\n

In this review, we compare Gemini 3.6 Flash and Gemini 3.1 Pro across real tasks: research synthesis, coding repair, long-context summarization, data reasoning, screenshot analysis, and SEO writing. <\/strong>For each round, the main question is simple: which output would be easier to trust, edit, and reuse?<\/p>\n\n\n\n

If you want to compare models without opening a pile of separate tabs, start from the GLBGPT model hub<\/a> and run the same prompt across multiple AI models before trusting any launch claim. That matters for this kind of review, because the only honest way to compare models is to run the same work through them and look at the outputs.<\/p>\n\n\n\n

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\n Status API<\/span>\n Stable vs Preview<\/span>\n

Gemini 3.6 Flash is listed as Stable; Gemini 3.1 Pro uses the Preview API label.<\/p>\n <\/div>\n

\n Official output price<\/span>\n $7.50 vs $12+<\/span>\n

Per 1M output tokens on standard paid API pricing, before long-prompt Pro tiers.<\/p>\n <\/div>\n

\n Our same-prompt run<\/span>\n 4 wins vs 2<\/span>\n

Flash won four task-level editorial calls; Pro won research synthesis and screenshot analysis.<\/p>\n <\/div>\n <\/div>\n<\/div>\n\n\n\n

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