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Google: Gemini 2.5 Pro Preview 06-05

by Google

Video & AudioChatbots & LLMs
9.2
Quality score / 10
Visit Google: Gemini 2.5 Pro Preview 06-05 →Paid$1.25/1M tokens

Overview

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

Our take

Within a category crowded with fast, cheap chat models, this preview build sits at the reasoning-heavy end. It shares the Pro line's "thinking" approach and a 1,048,576-token context window, larger than most models in this listing, which places it among the options built for depth rather than speed. A concrete fit: a data scientist can drop a long experiment log, the underlying code, and reference papers into one prompt and ask the model to reason through where results diverge, drawing on vision input for charts and structured JSON output for downstream processing. Because it is a dated preview snapshot rather than a stable release, it appeals to teams evaluating capability ahead of committing to a production version. Relative to the Flash tier at $0.30 per million tokens, this build is priced at $1.25 per million, marking it as the accuracy-focused choice; against lightweight siblings such as Gemini 3.1 Flash Lite, it keeps full reasoning rather than optimising for low-latency, high-volume runs. No free tier is offered, so evaluation carries a metered cost. It suits engineers and researchers doing content-creation, research, and writing who want to test frontier reasoning before standardising on it. Choose it to trial the Pro line's depth; production teams needing a fixed, supported endpoint should move to a stable release.

How Google: Gemini 2.5 Pro Preview 06-05 stacks up

Among the 64 video & audio tools in our directory, it ranks #1 of 44 on quality (9.2/10), 8% above the 44-tool average of 8.5, and its $1.25/1M input-token rate is in the premium end — 92% pricier than the 27-model average of $0.65/1M.

Weighing quality against cost, Google: Gemini 2.5 Pro Preview 06-05's cost-per-quality-point of $0.14 places it at #18 of 24 for value among video & audio tools.

Google: Gemini 2.5 Pro Preview 06-05 in depth

Google: Gemini 2.5 Pro Preview 06-05, built by Google, sits in the video & audio and chatbots & llms space and is a paid tool starting at $1.25/1M 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 2.5 Pro Preview 06-05 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 ($1.25 per 1m input tokens). Keep both in mind when deciding whether it fits your workflow.

Google: Gemini 2.5 Pro Preview 06-05 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
2026-08-15

Key features

  • ✓1,048,576-token context window
  • ✓Vision (image input)
  • ✓Reasoning / chain-of-thought
  • ✓Tool / function calling
  • ✓Structured (JSON) outputs
  • ✓Knowledge cutoff 2025-01-31

Pricing

$1.25/1M tokens
Pay per token
Paid$1.25/1M tokens
API input
$1.25 / 1M tokens
API output
$10 / 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 ($1.25 per 1M input tokens)

Who should use Google: Gemini 2.5 Pro Preview 06-05

  • →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 ($1.25 per 1m input tokens) is a dealbreaker.

Best for

Content CreationResearchWriting

10 Best Google: Gemini 2.5 Pro Preview 06-05 Alternatives in 2026

Google: Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05, ranked and compared.

1
Google: Gemini 3.7 Flash (batch)Paid$0.19/1M 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 (batch) review →
2
Meta: Muse Spark 1.2Paid$1.25/1M tokens

Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

+ 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 1.2 review →
3
Google: Gemini 3.6 Flash (batch)Paid$0.38/1M tokens

Google

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.

+ 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 3.6 Flash (batch) review →
4
Google: Gemini 3.5 Flash Lite (batch)Paid$0.15/1M tokens

Google

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.

+ Low API price — $0.15 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 Google: Gemini 3.5 Flash Lite (batch) review →
5
Meta: Muse Spark 1.1Paid$1.25/1M tokens

Meta

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.

+ 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 1.1 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
Qwen: Qwen3.8 MaxPaid$2.00/1M tokens

Qwen

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max…

+ 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 Qwen: Qwen3.8 Max review →
10
Qwen: Qwen3.7 FlashPaid$0.03/1M tokens

Qwen

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding…

+ Low API price — $0.03 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Qwen: Qwen3.7 Flash review →

Google: Gemini 2.5 Pro Preview 06-05 vs top alternatives

A side-by-side look at how Google: Gemini 2.5 Pro Preview 06-05 stacks up against its closest rivals.

FeatureGoogle: Gemini 2.5 Pro Preview 06-05GoogleGoogle: Gemini 3.7 Flash (batch)GoogleMeta: Muse Spark 1.2MetaGoogle: Gemini 3.6 Flash (batch)Google
Quality score9.2 / 109.2 / 109.2 / 109.2 / 10
Starting price$1.25/1M tokens$0.19/1M tokens$1.25/1M tokens$0.38/1M tokens
Free tierNoNoNoNo
API input price$1.25 / 1M tokens$0.1875 / 1M tokens$1.25 / 1M tokens$0.375 / 1M tokens
API output price$10 / 1M tokens$0.9375 / 1M tokens$4.25 / 1M tokens$1.875 / 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
  • + 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
  • + 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 ($1.25 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 2.5 Pro Preview 06-05 free?

No — Google: Gemini 2.5 Pro Preview 06-05 is a paid tool, starting at $1.25/1M tokens.

Q. How much does Google: Gemini 2.5 Pro Preview 06-05 cost?

Google: Gemini 2.5 Pro Preview 06-05 starts at $1.25/1M tokens. API usage is around $1.25 per 1M input tokens and $10 per 1M output tokens.

Q. What is Google: Gemini 2.5 Pro Preview 06-05 best for?

Google: Gemini 2.5 Pro Preview 06-05 is best suited to content creation, research and writing, within the video & audio and chatbots & llms category.

Q. What are the best Google: Gemini 2.5 Pro Preview 06-05 alternatives?

Popular alternatives to Google: Gemini 2.5 Pro Preview 06-05 include Google: Gemini 3.7 Flash (batch), Meta: Muse Spark 1.2, Google: Gemini 3.6 Flash (batch) and Google: Gemini 3.5 Flash Lite (batch). Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Google: Gemini 2.5 Pro Preview 06-05?

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 2.5 Pro Preview 06-05?

Common reasons include pricing, specific feature gaps (Above-average API pricing ($1.25 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.

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