AI Models /
Google

Gemini 2.5 Pro Experimental

Google's most advanced thinking model, leading benchmarks in reasoning, science, math, and coding with a massive multimodal context window.

text 1.0M tokens context From $1.5 / 1M tokens

Gemini 2.5 Pro Experimental at a glance

Context window

1.0M tokens

Input price

$1.5

per 1M tokens

Output price

$6

per 1M tokens

Why use Gemini 2.5 Pro Experimental

Strengths, benchmarks, and where Gemini 2.5 Pro Experimental fits in your team's workflow.

1. State-of-the-art reasoning performance

  • #1 on LMArena human preference leaderboard.
  • Excels at advanced reasoning benchmarks like GPQA and AIME 2025.
  • Achieves 18.8% on Humanity's Last Exam (no tools), representing frontier human-level reasoning.

2. New “thinking model” architecture

  • Built with explicit reasoning steps internally before responding.
  • Handles complex, multi-stage logic with higher accuracy and fewer hallucinations.

3. Elite science and mathematics capabilities

  • Leads in math and science tasks across industry benchmarks.
  • High performance without costly inference tricks like majority voting.

4. Exceptional coding abilities

  • Major leap over Gemini 2.0 in coding performance.
  • 63.8% on SWE-Bench Verified with custom agent setup.
  • Strong at code transformation, debugging, and building agentic apps.
  • Capable of generating full applications (e.g., a playable video game) from a single-line prompt.

5. Massive multimodal context

  • Ships with a 1,000,000 token window (2M coming soon).
  • Handles entire documents, datasets, video sequences, audio files, and large codebases.
  • Maintains strong performance even at extreme context lengths.

6. Native multimodality across all inputs

  • Understands and reasons over text, images, audio, video, and code.
  • Designed for real-world, multi-source problem-solving and agent workflows.

7. Consistent high-quality outputs

  • Improved post-training results in more accurate, coherent, and stylistically strong responses.
  • Higher reliability across complex workloads.

8. Early availability for developers

  • Available today in Google AI Studio for experimentation.
  • Coming soon to Vertex AI with higher rate limits and production-ready access.
Appaca

Power your team with Gemini 2.5 Pro Experimental

Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Gemini 2.5 Pro Experimental - connected to your real data and ready for your whole team. No code, no deployment.

Build internal AI tools

Describe what you need and the Appaca agent builds it - lead scorers, report generators, email drafters - with Gemini 2.5 Pro Experimental as the engine. No code, no deployment.

Give Gemini 2.5 Pro Experimental your real data

Connect the tools your team already uses - Slack, Notion, Google Sheets, Airtable, and more - so Gemini 2.5 Pro Experimental works with real context, not generic answers.

Automate recurring tasks

Schedule Gemini 2.5 Pro Experimental to run on autopilot - daily digests, weekly summaries, or real-time triggers - all managed inside your Appaca workspace.

Describe it, and it's built

Tell the Appaca agent what your team needs and it builds a working app powered by Gemini 2.5 Pro Experimental - connected to the tools you already use.

SlackGoogle SheetsGoogle DriveGoogle CalendarAirtableNotionWhatsappHubspot
Chat to app Appaca app builder

Compare Gemini 2.5 Pro Experimental with other models

See how Gemini 2.5 Pro Experimental stacks up against other text models - pricing, context windows, and strengths side by side.

Build internal AI tools with Gemini 2.5 Pro Experimental

Describe the tool your team needs and get a working app powered by Gemini 2.5 Pro Experimental - with a built-in database, team access, and integrations. No code, no deployment.