DataLearner logo
GE

Gemini-2.5-Pro-Preview-05-06

Reasoning modelGemini ProGemini 2.5

Gemini-2.5-Pro-Preview-05-06

Release date: 2025-05-06Updated: 2025-05-08 10:59:541,563
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
1000K
Chinese support
Supported
Reasoning ability

Gemini-2.5-Pro-Preview-05-06 is an AI model published by Google Deep Mind, released on 2025-05-06, for Reasoning model, and 1000K context length, with a 98.80 score on MATH-500.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Gemini-2.5-Pro-Preview-05-06

Model basics

Reasoning traces
Supported
Thinking modes
Thinking modes not supported
Context length
1000K tokens
Max output length
64K tokens
Model type
Reasoning model
Modality (in / out)
Text, Image → No data
Release date
2025-05-06
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
Gemini-2.5-Pro-Preview-05-06

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Gemini-2.5-Pro-Preview-05-06

Official resources

Paper
DataLearnerAI blog
No blog post yet
Gemini-2.5-Pro-Preview-05-06

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
TypeConditionInputOutput
Text-$1.25/ 1M$10.00/ 1M
Image-$1.25/ 1M-
Gemini-2.5-Pro-Preview-05-06

Benchmark Results

Gemini-2.5-Pro-Preview-05-06 currently shows benchmark results led by MATH-500 (1 / 44, score 98.80), AIME 2024 (9 / 62, score 92), GeoBench ACW (3 / 20, score 86). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking
Tool usage
Internet

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
21.60
115 / 175

Other

1 evaluations
Benchmark / mode
Score
Rank/total
83
100 / 225

Common Sense

1 evaluations
Benchmark / mode
Score
Rank/total
54
11 / 47

Coding and Software Engineer

2 evaluations
Benchmark / mode
Score
Rank/total
77.10
34 / 123
63.20
78 / 113

Math and Reasoning

5 evaluations
Benchmark / mode
Score
Rank/total
98.80
1 / 44
92
9 / 62
83
52 / 107
10.30
25 / 60

Multimodal Understanding

4 evaluations
Benchmark / mode
Score
Rank/total
GeoBench ACW
Standard Mode
86
3 / 20
GeoBench ACW
Standard ModeToolsInternet
81
5 / 20
79.60
14 / 29
VPCT
Standard Mode
40.50
13 / 24

Agent Level Benchmark

1 evaluations
Benchmark / mode
Score
Rank/total
Aider-Polyglot
Standard Mode
76.90
9 / 59

Other

1 evaluations
Benchmark / mode
Score
Rank/total
Fiction.liveBench
Standard Mode
66.70
13 / 16

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

Gemini-2.5-Pro-Preview-05-06

Publisher

Google Deep Mind
Google Deep Mind
View publisher details
Gemini-2.5-Pro-Preview-05-06

Model Overview

Gemini-2.5-Pro-Preview-05-06 is an AI model published by Google Deep Mind, released on 2025-05-06, for Reasoning model, and 1000K context length, with a 98.80 score on MATH-500.

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code