Gemini 3.1 Pro
Google's February 2026 reasoning breakthrough — 77.1% on ARC-AGI-2 benchmark, more than doubling its predecessor's 31.1% score. Tops both Claude Opus 4.6 (68.8%) and GPT-5.2 (52.9%). Leads 13 of 16 Google-evaluated benchmarks. API at $2/million tokens vs. Claude Opus at $15/million — significant cost advantage for high-volume applications. Available at the same price as Gemini 3 with no extra charge. Real-world caution: early developer testing flagged planning loops (model reasons in circles without output) and hallucination issues not fully resolved.
Pricing: Free (daily limits) | Google AI Plus $7.99/mo | Google AI Pro $19.99/mo | API: $2/million tokens
Best For
- Quarterly content audits — months of blog posts and ad copy in one prompt
- Competitor video analysis — feed competitor ads directly for messaging breakdowns
- Campaign data synthesis — 6 months of analytics for pattern recognition
- High-volume API applications where $2/million tokens vs. $15/million matters
- Teams already on Google Workspace wanting the best available reasoning at no extra cost
Q'dUp Pro Tip: Test Gemini 3.1 Pro this week if you're on Google Workspace — same price, dramatically better reasoning. Don't bet client deliverables on it yet; explore for internal research and analysis first. Watch for planning loops on complex agentic tasks — a confirmed limitation. Context window reality check: spec says 1M tokens but reliability degrades past ~120-150K in practice. For API usage, the $2/million token pricing is a genuine competitive advantage over Claude and GPT for high-volume tasks.
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