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Google · Text model · Preview

Gemini 3.1 Pro (preview)

Google: our third generation Pro model, built for multimodal understanding and agentic capabilities ai.google.dev (opens in a new tab)

US$2Input / 1M
US$12Output / 1M
–Context
–AA index
–Tokens/s
highDefault level

Compare with similar models Open the Model Finder

Figures checked 1 Nov 2026. A dash means not published on the sources we checked, so it stays blank rather than estimated.

Reasoning levels

Which level to choose

Google names these settings thinking_level. Price per token is the same at every level. Higher levels usually use more output tokens. ai.google.dev (opens in a new tab)

LevelWhen to use it, per GoogleAA indexTokens/s
lowNo per-level advice published––
mediumNo per-level advice published––
high defaultNo per-level advice published––

Our rule of thumb: Simple or speed-critical work: low. Standard work: the lab's default. Complex work: high. Use xhigh or max only when your own tests show a gain, as OpenAI and Anthropic both advise. developers.openai.com (opens in a new tab)platform.claude.com (opens in a new tab)

Charts

List price against similar models

US$ per 1M tokens, standard tier, short prompts. Output left blank where not published.

Show the data as a table
ModelInput US$/1MOutput US$/1M
Gemini 3.1 Pro (preview)212
GPT-5.6 Terra212
GPT-5.3-Codex1.7514
GPT-6 Sol210
MiMo-V2.6-Pro UltraSpeed4.358.7

Full sourced profile

LabGoogle
TypeText
StatusPreview ai.google.dev (opens in a new tab)
Released–
API accessYes ai.google.dev (opens in a new tab)
API model IDgemini-3.1-pro-preview ai.google.dev (opens in a new tab)
API rate limits–
Consumer app plans–
Price at each levelSame per-token price at every level. ai.google.dev (opens in a new tab)
Input per 1M tokensUS$2 ai.google.dev (opens in a new tab)Up to 200K prompt. US$4 in, US$18 out above
Output per 1M tokensUS$12 ai.google.dev (opens in a new tab)Up to 200K prompt. US$4 in, US$18 out above
Cached inputUS$0.2 ai.google.dev (opens in a new tab)
Batch in / out–
Other pricing–
Context window–
Max output–
Input typestext, image, video, audio, pdf ai.google.dev (opens in a new tab)
Output typestext
WeightsClosed ai.google.dev (opens in a new tab)
ReasoningYes ai.google.dev (opens in a new tab)
Tool use–
Artificial Analysis index–
Output speed–
Time to first token–
Reasoning levelslow, medium, high (default) ai.google.dev (opens in a new tab)
Lab benchmark claims–
Limitations
  • Preview model
  • Not on the free tier

Tools and MCP connectors that fit

Gemini 3.1 Pro (preview) has no published tool use, so we do not match it to MCP servers. Browse AI tools

Similar alternatives

Same type, closest on quality index and blended price. A similarity, not a ranking.

Compare Gemini 3.1 Pro (preview) with GPT-5.6 Terra and GPT-5.3-Codex

All 109 AI models · AI agents · How we check sources

Latest news from Google

All AI news

Google United States

Google DeepMind releases Gemini Robotics 2.5 for real-world robots

DeepMind says its new vision-language-action model, built with Gemini 4 Argon, was tested on more than 200 tasks, finishes tasks 20% to 30% faster than the previous version and packed automotive parts with a 96% success rate in proof-of-concept tests at Mercedes-Benz. It is rolling out through partners including Agile Robots, Apptronik and Boston Dynamics. The figures are DeepMind's own; more robot training and inference means more GPU demand in data centres.

Source: SiliconANGLE (opens in a new tab)

Google United States

One robots.txt line to opt a website out of AI training

Google says it will support a shared AI training control in robots.txt, alongside Microsoft, OpenAI and Anthropic. It is based on an IETF draft. Website owners get one switch instead of one per crawler.

Source: Google Search Central Blog (opens in a new tab)

Google United States

Google Cloud revenue more than doubles as Alphabet spends $51.4bn in a quarter

Alphabet put $51.4bn into capex in Q3, about 35% of its technical infrastructure spend going to data centres. Google Cloud revenue grew 103% to $30.7bn.

Source: Alphabet (SEC exhibit 99.1) (opens in a new tab)