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Gemini 3.1 Pro

Frontier

Google's flagship — frontier quality with a massive multimodal 1M-token context.

Google
Maker
89/100
Overall
49
Value score
$5.00
Blended /1M
1.0M
Context
Proprietary
Weights
Pricing: $2.00 in · $12 out / 1M tokens · synced from OpenRouter · updated 2026-06-22

Scorecard

Output Quality9.2/10 · 78% community
Agentic Ability9.0/10 · 77% community
Speed7.5/10 · 70% community
Value for $8.1/10 · 73% community
Reliability8.8/10 · 76% community

Gemini 3.1 Pro is Google's top model: frontier reasoning, native multimodality (text, image, file, audio, video), and a 1M-token context that's well-regarded for holding entire codebases or document sets. It's the natural backbone for Gemini CLI and a strong all-rounder elsewhere.

Strengths
  • 1M multimodal context
  • Frontier reasoning
  • Great long-context recall
Trade-offs
  • Tool use a touch behind Claude/GPT on some agents
  • Preview-tier stability varies

Agents that run Gemini 3.1 Pro well

Huge-context and multimodal work, and Gemini CLI users.

Best model for Gemini CLIBest model for ClineBest model for AiderBest model for CursorBest model for OpenCodeBest model for OpenClaw

Gemini 3.1 Pro FAQ

Is Gemini 3.1 Pro good for AI agents?
Huge-context and multimodal work, and Gemini CLI users. On our editorial scoring it rates 9.0/10 for agentic ability and 9.2/10 for output quality. 1M multimodal context.
How much does Gemini 3.1 Pro cost?
Via OpenRouter, Gemini 3.1 Pro is priced at $2.00 in · $12 out / 1M tokens — a blended rate of about $5.00 per 1M tokens for typical input-heavy agent use.
What is Gemini 3.1 Pro's context window?
Gemini 3.1 Pro has a 1.0M-token context window — large enough to hold sizeable codebases or document sets in a single run. Google is the maker.
Can I self-host Gemini 3.1 Pro?
No — Gemini 3.1 Pro is a proprietary, hosted-only model from Google. You access it through an API (e.g. OpenRouter) rather than running the weights yourself.
What are the downsides of Gemini 3.1 Pro?
The main trade-offs: tool use a touch behind claude/gpt on some agents; preview-tier stability varies. It's strongest for huge-context and multimodal work, and gemini cli users.

Gemini 3.1 Pro compared

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The model is half the story — the agent is the other half

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