Google: Gemini 3.1 Pro Preview

Google: Gemini 3.1 Pro Preview

google · Released Feb 19, 2026 FRONTIER
Intelligence #3 / 612
85.4 our score
Speed #98 / 287
126.1 tok/s
Input Price #505 / 612
$2.00 per 1M tokens
Output Price #541 / 612
$12.00 per 1M tokens
Context #24 / 612
1M tokens

Analysis Summary

Gemini 3.1 Pro Preview is Google's near-frontier model with an intelligence index of 46.5, a coding index of 68.8, and an agentic index of 74.7. It supports text, image, file, audio, and video input across a 1,048,576 token context window, making it the most modality-complete model in this batch. Tool use and function calling are fully supported, and its GPQA score of 0.941 reflects strong scientific reasoning.

For businesses, the combination of near-frontier reasoning, world-class coding, strong agentic performance, and full multimodal support makes it a versatile flagship for software engineering, autonomous agents, long-document analysis, and content workflows. The 1M context window handles entire codebases or document sets in a single call. Pricing at $2 input and $12 output is competitive for this capability tier.

As a Google flagship with strong enterprise support and broad API availability, it is a top-tier choice for teams wanting a single model to cover the widest range of business tasks. Adopt as a primary model where multimodality and agentic depth are both required.

Assessed July 10, 2026

Editorial notes

Gemini 3.1 Pro Preview from Google pairs near-frontier reasoning with a 1M token context, full multimodal input including audio and video, world-class coding, and strong agentic performance at competitive pricing.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

Gemini 3.1 Pro Preview from Google pairs near-frontier reasoning with a 1M token context, full multimodal input including audio and video, world-class coding, and strong agentic performance at competitive pricing.

#3 of 612 overall

Benchmark scores

GPQA Diamond 94.1%
HLE 44.7%
SciCode 58.9%
TerminalBench Hard 53.8%
τ²-Bench 95.6%
IFBench 77.1%
LCR 72.7%

Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.

46.5 Intelligence IndexĀ·68.8 Coding IndexĀ·74.7 Agentic Index

How Google: Gemini 3.1 Pro Preview compares

Google: Gemini 3.1 Pro Preview ranks #14 of 393 AI models we track for overall intelligence, #12 of 157 for coding, #5 of 300 for agentic tasks. Its 1M-token context window is larger than 96% of the models we list. At $2.00 per million input tokens it is cheaper than 17% of comparable models.

Position in the field
Intelligence: smarter than 100% of models #3
Speed: faster than 66% of models #98
Price: cheaper than 17% of models #505
Context: larger than 96% of models #24
worst in fieldmedianbest in field
Price vs frontier peers Ā· $ per 1M tokens
Google: Gemini 3.1 Pro Preview $2.00 in $12.00 out
Anthropic: Claude Fable 5 $10.00 in $50.00 out
Anthropic: Claude Opus 4.8 $5.00 in $25.00 out
MoonshotAI: Kimi K3 $3.00 in $15.00 out

Dark bar = input Ā· light bar = output, scaled to the priciest peer.

Context window vs peers Ā· tokens
Google: Gemini 3.1 Pro Preview 1M

1M tokens ā‰ˆ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence7.3Technical8.5Value6.8Content8.5
Performance profile

Strongest on technical. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.

Compare shapes side-by-side →

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $2.00 $0.002000
Output $12.00 $0.012000

What would Google: Gemini 3.1 Pro Preview cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo Google: Gemini 3.1 Pro Preview

Full calculator with 612 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save Google: Gemini 3.1 Pro Preview for the hard ones. Most clients cut their estimate by 60-80%.

Talk to our team

About Google: Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation..

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Frequently asked questions about Google: Gemini 3.1 Pro Preview

How much does Google: Gemini 3.1 Pro Preview cost?

Google: Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens.

What is the context window of Google: Gemini 3.1 Pro Preview?

Google: Gemini 3.1 Pro Preview has a context window of 1,048,576 tokens (1M).

Is Google: Gemini 3.1 Pro Preview good for coding?

On our coding benchmark index, Google: Gemini 3.1 Pro Preview ranks #12 of 157 models, placing it in the top quartile of the field for code generation and debugging.

What can Google: Gemini 3.1 Pro Preview do?

Google: Gemini 3.1 Pro Preview supports image/vision input, tool use, and function calling.

Who created Google: Gemini 3.1 Pro Preview?

Google: Gemini 3.1 Pro Preview is developed by Google and was released on February 19, 2026.