ZMIME
Google · Released Jun 17, 2025

Gemini 2.5 Pro

Google's proven reasoning model for coding, math, and multimodal analysis.

  • Proprietary
  • Reasoning
  • Tool calling
  • Vision
  • Audio input
  • Video input
Capability
145.3ECI · #78 of 148
Input
$1.25per 1M tokens
Output
$10.00per 1M tokens
Context
1.05M66K max output
Pricing

What it costs

Input
$1.25per million tokens
Output
$10.00per million tokens
Cached input
$0.125per million tokens
Over 200K tokens
$2.50 / $15.00input / output per million
Blended (3:1)
$3.44pricier than 78% of priced models

Typical monthly bills

Monthly usageEstimated cost
Side project2M input + 0.5M output tokens$7.50
Team assistant25M input + 5M output tokens$81.25
Production app250M input + 50M output tokens$812.50

Official Google API price, as listed on models.dev.

Capability

Independent benchmarks

145.3Epoch Capabilities Index
#78 of 148 scored models
88Median 146167

The shaded band is Epoch AI’s confidence range (143.6–146.9); the tick marks the median scored model.

  • GPQA DiamondGraduate-level science questions85.3%
  • FrontierMath Tiers 1–3Research-level mathematics24.6%
  • OTIS Mock AIME 2024–2025Competition mathematics84.7%
  • SWE-bench VerifiedFixing real GitHub issues57.6%

Scores from Epoch AI, run independently of Google.

Specifications

The details

Lab
Google
Released
Jun 17, 2025
Knowledge cutoff
Jan 2025
Context window
1,048,576 tokens
Max output
65,536 tokens
Inputs
Text, Images, PDFs, Audio, Video
Output
Text
Reasoning
Thinking budget
Tool calling
Yes
Structured output
Yes
Weights
Proprietary
API model ID
gemini-2.5-proon Google
Availability
22 API providerslisted on models.dev

Google model documentation

Lab-reported

What Google claims

Published by the lab at launch. Settings vary, so compare these only with care.

BenchmarkScoreSettingSource
Aider Polyglot83.1 percent correct—Source
Artificial Analysis Coding Index32 index—Source
SciCode42.8 percent correct—Source
Terminal-Bench Hard26.5 success rate—Source
Same lab

More from Google

Questions

About Gemini 2.5 Pro

How much does Gemini 2.5 Pro cost?

Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google API price). Cached input is $0.125 per million tokens. Requests over 200K tokens are billed at $2.50 input / $15.00 output. At a 3:1 input-to-output mix that is $3.44 per million tokens, more expensive than 78% of the 360 priced models we track.

What is the context window of Gemini 2.5 Pro?

Gemini 2.5 Pro accepts up to 1,048,576 tokens per request and can write up to 65,536 tokens in one response.

How good is Gemini 2.5 Pro?

Epoch AI gives Gemini 2.5 Pro a Capabilities Index score of 145.3 (likely range 143.6–146.9), ranking it #78 of 148 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 85.3%, FrontierMath Tiers 1–3 24.6%, OTIS Mock AIME 2024–2025 84.7%, SWE-bench Verified 57.6%.

Is Gemini 2.5 Pro open source?

No. Gemini 2.5 Pro is proprietary; you use it through Google’s API or partner platforms.

What inputs does Gemini 2.5 Pro support?

Gemini 2.5 Pro accepts text, images, PDFs, audio and video and replies in text. It is a reasoning model, supports tool calling and can return structured JSON output.

When was Gemini 2.5 Pro released?

Google released Gemini 2.5 Pro on Jun 17, 2025. Its training data runs to Jan 2025.

What are the best alternatives to Gemini 2.5 Pro?

The closest current models from other labs on capability, price and release date are o3 (OpenAI, ECI 146.9, $2.00 / $8.00), Claude Sonnet 4.5 (Anthropic, ECI 146.8, $3.00 / $15.00), Qwen3 Max (Alibaba (Qwen), ECI 142.4, $1.20 / $6.00) and GLM-5 (Z.ai (Zhipu), ECI 145.8, $1.00 / $3.20).