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Gemini 2.5 Pro

by Google

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

G2

Models

Gemini 2.5 Pro

Added 10 July 2026

#google

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...

Best for

Best for
Long-document analysis and multimodal research agents

Use cases

  • corpus Q&A
  • PDF agents
  • multimodal research
  • long meeting notes

How to use / API access

Call via OpenRouter with model id `google/gemini-2.5-pro`.

  • openrouter · google/gemini-2.5-pro Docs

OpenRouter id: google/gemini-2.5-pro

Benchmarks

  • Intelligence Index (artificial-analysis): 16.1 index
  • Coding Index (artificial-analysis): 33.3 index
  • Agentic Index (artificial-analysis): 1.6 index
  • Design Arena 3d (other): 1081 elo · #94
  • Design Arena codecategories (other): 1154 elo · #82
  • Design Arena dataviz (other): 1223 elo · #49
  • Design Arena gamedev (other): 1113 elo · #90

Enterprise DNA angle

Gemini-class long context pairs well with Omni ingestion jobs that land summaries into CRM and Notion.

Notes

Gemini 2.5 Pro is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

  • Very large context for long docs and corpora
  • Strong multimodal understanding
  • Competitive quality on reasoning workloads

Cons

  • Provider ecosystem differs from OpenAI/Anthropic tooling habits
  • Closed model
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USAGE / OPENROUTER

How much Gemini 2.5 Pro is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
37.4B ▼39.3%
Requests, last 7 days
3.4M
Tool calls, last 7 days
73.1K
Intelligence score
16.1
People's vote
1458
Average cost per request
$1.81
Price per million tokens
$1.25 in · $10 out
05B10B19 Sept: 6.8B tokens, 603K requests20 Sept: 7.3B tokens, 609K requests21 Sept: 9.1B tokens, 788K requests22 Sept: 8.6B tokens, 758K requests23 Sept: 9.5B tokens, 790K requests24 Sept: 9.1B tokens, 854K requests25 Sept: 9.3B tokens, 834K requests26 Sept: 8.5B tokens, 666K requests27 Sept: 9.1B tokens, 741K requests28 Sept: 9.6B tokens, 838K requests29 Sept: 9.9B tokens, 869K requests30 Sept: 9.1B tokens, 807K requests1 Oct: 9.3B tokens, 855K requests2 Oct: 8.7B tokens, 716K requests3 Oct: 8.3B tokens, 710K requests4 Oct: 8.8B tokens, 700K requests5 Oct: 9.3B tokens, 775K requests6 Oct: 9.1B tokens, 813K requests7 Oct: 9.3B tokens, 740K requests8 Oct: 8.4B tokens, 784K requests9 Oct: 8.6B tokens, 783K requests10 Oct: 8.4B tokens, 666K requests11 Oct: 8.6B tokens, 701K requests12 Oct: 6.7B tokens, 589K requests13 Oct: 5.6B tokens, 523K requests14 Oct: 5.1B tokens, 468K requests15 Oct: 5.8B tokens, 503K requests16 Oct: 4.8B tokens, 446K requests17 Oct: 4.7B tokens, 477K requests18 Oct: 4.7B tokens, 412K requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 16.1 (2026-10-18) ↗Coding Index: 33.3 (2026-10-18) ↗Agentic Index: 1.6 (2026-10-18) ↗
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