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Gemini 2.5 Pro Experimental 0325

Added Mar 25, 2025

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Gemini 2.5 Pro Exp 0325. Google's experimental model from March 2025.

  • Reasoning
  • Vision
  • Audio input
Input
Text, Images, Audio
Output
Text
Reasoning effort
low · medium · high
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$2.50
Output
$10.00
Cache read
$0.25

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
65.5K

Side by side

Gemini 2.5 Pro Experimental 0325 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Gemini 2.5 Pro Experimental 0325GoogleThis modelGemini 2.0 Pro 0205GoogleRemove
ProviderGoogleGoogle
Discovery tierBalancedBalanced
AddedMar 25, 2025Feb 5, 2025
Limits
Context window1.05M2.1MBest
Max output65.54KBest8.19K
Pricing, USD per 1M tokens
Input$2.50$1.99Best
Output$10.00$7.96Best
Cache read$0.25Best$0.50
Benchmark indexes
Intelligence Index16.1Best8.7
Coding Index33.3Best25.5
Math Index87.7—
Capabilities
ReasoningYesNo
VisionYesYes
Audio inputYesYes
Reasoning effortlow, medium, high—

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Gemini 2.5 Pro Experimental 0325
  • Gemini 2.0 Pro 0205

Intelligence Index

  • Gemini 2.5 Pro Experimental 032516.1
  • Gemini 2.0 Pro 02058.7

Gemini 2.5 Pro Experimental 0325: Better than 41% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Gemini 2.5 Pro Experimental 0325: 33.3Top
    • Gemini 2.0 Pro 0205: 25.5

  • Math Index

    Composite of the math evaluations

    • Gemini 2.5 Pro Experimental 0325: 87.7
    • Gemini 2.0 Pro 0205: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Gemini 2.5 Pro Experimental 0325: 2.2%
    • Gemini 2.0 Pro 0205: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Gemini 2.5 Pro Experimental 0325: 0.0%
    • Gemini 2.0 Pro 0205: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Gemini 2.5 Pro Experimental 0325: 302 Elo
    • Gemini 2.0 Pro 0205: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Gemini 2.5 Pro Experimental 0325: 455 Elo
    • Gemini 2.0 Pro 0205: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Gemini 2.5 Pro Experimental 0325: 10.2%
    • Gemini 2.0 Pro 0205: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemini 2.5 Pro Experimental 0325: 69.0%
    • Gemini 2.0 Pro 0205: —

  • MLCR-AA

    Long-context reasoning over medical records

    • Gemini 2.5 Pro Experimental 0325: 12.2%
    • Gemini 2.0 Pro 0205: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemini 2.5 Pro Experimental 0325: 22.5%Top
    • Gemini 2.0 Pro 0205: 6.2%

  • GPQA Diamond

    Graduate-level science questions

    • Gemini 2.5 Pro Experimental 0325: 84.4%Top
    • Gemini 2.0 Pro 0205: 62.2%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Gemini 2.5 Pro Experimental 0325: 86.2%Top
    • Gemini 2.0 Pro 0205: 80.5%

  • IFBench

    Following precise output instructions

    • Gemini 2.5 Pro Experimental 0325: 48.7%
    • Gemini 2.0 Pro 0205: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Gemini 2.5 Pro Experimental 0325: 0.0%
    • Gemini 2.0 Pro 0205: —

  • SciCode

    Scientific computing in Python

    • Gemini 2.5 Pro Experimental 0325: 46.3%
    • Gemini 2.0 Pro 0205: —

  • LiveCodeBench

    Recent competitive programming problems

    • Gemini 2.5 Pro Experimental 0325: 80.1%Top
    • Gemini 2.0 Pro 0205: 34.7%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Gemini 2.5 Pro Experimental 0325: 87.7%
    • Gemini 2.0 Pro 0205: —

  • AIME

    Competition mathematics

    • Gemini 2.5 Pro Experimental 0325: 88.7%Top
    • Gemini 2.0 Pro 0205: 36.0%

  • MATH-500

    Competition math problems

    • Gemini 2.5 Pro Experimental 0325: 96.7%Top
    • Gemini 2.0 Pro 0205: 92.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Gemini 2.5 Pro Experimental 0325: 26.5%
    • Gemini 2.0 Pro 0205: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Gemini 2.5 Pro Experimental 0325: 54.1%
    • Gemini 2.0 Pro 0205: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemini 2.5 Pro Experimental 0325: 69.0%
    • Gemini 2.0 Pro 0205: —

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-pro-exp-03-25",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="gemini-2.5-pro-exp-03-25",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Google

Other Google models, starting with the same family.