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Google: Gemini 3.1 Pro Preview

by Google

Video & AudioChatbots & LLMs
9.2
Quality score / 10
Visit Google: Gemini 3.1 Pro Preview →Paid$2.00/1M tokens

Overview

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...

Our take

Within the category, this preview sits at Google's frontier tier for reasoning, positioned for enhanced software engineering, more reliable agentic behavior, and more efficient token usage across complex workflows. It suits a scenario like driving a multi-step engineering agent through a large repository, where a 1,048,576-token context window holds the code and history, tool and function calling let it act, and structured JSON output keeps each step auditable. Chain-of-thought reasoning and image input are part of the package, and it is listed as both a video tool and an assistant. Against its stated alternatives, it stands above the Flash and Flash Lite tiers on reasoning depth and agentic reliability rather than on raw speed, while its $2.00 per 1M tokens rate, which the data flags as above average, undercuts frontier models like GPT-5.4 Pro. Ideal for engineering and research teams who need dependable agentic performance and long-context reasoning inside Google's ecosystem. Choose it when workflow complexity and agent reliability justify a Pro-tier rate; if your tasks are high-volume and simple, the cheaper Flash options in the same family will serve better.

How Google: Gemini 3.1 Pro Preview stacks up

Among the 63 video & audio tools in our directory, it ranks #1 of 45 on quality (9.2/10), 7% above the 45-tool average of 8.6, and its $2/1M input-token rate is in the premium end — 171% pricier than the 28-model average of $0.74/1M.

Weighing quality against cost, Google: Gemini 3.1 Pro Preview's cost-per-quality-point of $0.22 places it at #23 of 25 for value among video & audio tools.

Google: Gemini 3.1 Pro Preview in depth

Google: Gemini 3.1 Pro Preview, built by Google, sits in the video & audio and chatbots & llms space and is a paid tool starting at $2.00/1M tokens. Our editors rate it 9.2 out of 10 based on capability, ecosystem and value. It handles a context window of 1,048,576 tokens.

On the feature side, Google: Gemini 3.1 Pro Preview brings 1,048,576-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is large 1,048,576-token context window, bigger than most models listed here, while the main trade-off to weigh is that above-average api pricing ($2 per 1m input tokens). Keep both in mind when deciding whether it fits your workflow.

Google: Gemini 3.1 Pro Preview is most often chosen for content creation, research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
—
Context window
1,048,576 tokens
Free tier
No
Updated
2026-09-21

Key features

  • ✓1,048,576-token context window
  • ✓Vision (image input)
  • ✓Reasoning / chain-of-thought
  • ✓Tool / function calling
  • ✓Structured (JSON) outputs

Pricing

$2.00/1M tokens
Pay per token
Paid$2.00/1M tokens
API input
$2 / 1M tokens
API output
$12 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Large 1,048,576-token context window, bigger than most models listed here
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Accepts images as input (vision-capable)
  • +Supports tool / function calling for agent-style workflows

Cons

  • −Above-average API pricing ($2 per 1M input tokens)

Who should use Google: Gemini 3.1 Pro Preview

  • →Anyone looking for a video & audio and chatbots & llms tool from Google.
  • →Teams and individuals focused on content creation, research and writing.
  • →People who value large 1,048,576-token context window, bigger than most models listed here.
  • →Workflows that need a 1,048,576 tokens context window.

Who should look elsewhere

  • →Anyone who needs a free tier — this tool is paid only.
  • →Those for whom above-average api pricing ($2 per 1m input tokens) is a dealbreaker.

Best for

Content CreationResearchWriting

10 Best Google: Gemini 3.1 Pro Preview Alternatives in 2026

Google: Gemini 3.1 Pro Preview is a strong video & audio tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to Google: Gemini 3.1 Pro Preview, ranked and compared.

1
Meta: Muse Spark 1.3 ContributorPaid$0.10/1M tokens

Meta

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Meta: Muse Spark 1.3 Contributor review →
2
Meta: Muse Spark 1.3Paid$1.25/1M tokens

Meta

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.3 review →
3
Google: Gemini 3.8 FlashPaid$0.75/1M tokens

Google

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.8 Flash review →
4
Meta: Muse Spark 1.2 ContributorPaid$0.10/1M tokens

Meta

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Meta: Muse Spark 1.2 Contributor review →
5
Google: Gemini 3.7 FlashPaid$0.75/1M tokens

Google

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.7 Flash review →
6
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
7
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
8
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
9
Z.ai: GLM 5.3 FlashXPaid$0.37/1M tokens

Z.AI

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Z.ai: GLM 5.3 FlashX review →
10
Sakana: Fugu Ultra v2Paid$5.00/1M tokens

Sakana AI

Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family.

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Sakana: Fugu Ultra v2 review →

Google: Gemini 3.1 Pro Preview vs top alternatives

A side-by-side look at how Google: Gemini 3.1 Pro Preview stacks up against its closest rivals.

FeatureGoogle: Gemini 3.1 Pro PreviewGoogleMeta: Muse Spark 1.3 ContributorMetaMeta: Muse Spark 1.3MetaGoogle: Gemini 3.8 FlashGoogle
Quality score9.2 / 109.2 / 109.2 / 109.2 / 10
Starting price$2.00/1M tokens$0.10/1M tokens$1.25/1M tokens$0.75/1M tokens
Free tierNoNoNoNo
API input price$2 / 1M tokens$0.1 / 1M tokens$1.25 / 1M tokens$0.75 / 1M tokens
API output price$12 / 1M tokens$0.2 / 1M tokens$4.25 / 1M tokens$3.75 / 1M tokens
Speed————
Context window1,048,576 tokens1,048,576 tokens1,048,576 tokens1,048,576 tokens
CategoriesVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMs
Key features
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
Pros
  • + Large 1,048,576-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Large 1,048,576-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Large 1,048,576-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Large 1,048,576-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
Cons
  • − Above-average API pricing ($2 per 1M input tokens)
  • − No free tier — usage is billed per token
  • − Above-average API pricing ($1.25 per 1M input tokens)
  • − No free tier — usage is billed per token

Frequently asked questions

Q. Is Google: Gemini 3.1 Pro Preview free?

No — Google: Gemini 3.1 Pro Preview is a paid tool, starting at $2.00/1M tokens.

Q. How much does Google: Gemini 3.1 Pro Preview cost?

Google: Gemini 3.1 Pro Preview starts at $2.00/1M tokens. API usage is around $2 per 1M input tokens and $12 per 1M output tokens.

Q. What is Google: Gemini 3.1 Pro Preview best for?

Google: Gemini 3.1 Pro Preview is best suited to content creation, research and writing, within the video & audio and chatbots & llms category.

Q. What are the best Google: Gemini 3.1 Pro Preview alternatives?

Popular alternatives to Google: Gemini 3.1 Pro Preview include Meta: Muse Spark 1.3 Contributor, Meta: Muse Spark 1.3, Google: Gemini 3.8 Flash and Meta: Muse Spark 1.2 Contributor. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Google: Gemini 3.1 Pro Preview?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from Google: Gemini 3.1 Pro Preview?

Common reasons include pricing, specific feature gaps (Above-average API pricing ($2 per 1M input tokens)), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

Ready to try Google: Gemini 3.1 Pro Preview?

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Visit Google: Gemini 3.1 Pro Preview →