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Gemini 3.0 Pro (Preview 11-2025)

Multimodal modelGemini ProGemini 3.0

Gemini 3.0 Pro preview-11-2025

Release date: 2025-11-18Updated: 2026-07-17 23:18:29.3163,817
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
1000K
Chinese support
Supported
Reasoning ability

Gemini 3.0 Pro (Preview 11-2025) is a multimodal model from Google Deep Mind, released on 2025-11-18. It accepts text, image, audio, and video input and returns text and audio output. The recorded context window is 1000K, and the recorded maximum output is 64K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.

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

Gemini 3.0 Pro (Preview 11-2025)

Model basics

Reasoning traces
Supported
Thinking modes
Standard ModeThinking ModeThinking Level · 4KThinking Level · 8KThinking Level · 16KThinking Level · 32KThinking Level · 64K
Context length
1000K tokens
Max output length
64K tokens
Model type
Multimodal model
Modality (in / out)
Text, Image, Audio, Video → Text, Audio
Release date
2025-11-18
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
Gemini 3.0 Pro (Preview 11-2025)

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
https://gemini.google.com/app
Gemini 3.0 Pro (Preview 11-2025)

Official resources

Paper
Paper
DataLearnerAI blog
DataLearnerAI blog
Gemini 3.0 Pro (Preview 11-2025)

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Learn about pricing modes
Standard
TypeConditionInputOutput
Text-$2.00/ 1M$12.00/ 1M
TextContext > 200000$4.00/ 1M$18.00/ 1M
Batch
TypeConditionInputOutput
Text-$1.00/ 1M$6.00/ 1M
Gemini 3.0 Pro (Preview 11-2025)

Benchmark Results

Gemini 3.0 Pro (Preview 11-2025) currently shows benchmark results led by MMLU Pro (2 / 132, score 90), LiveCodeBench (2 / 123, score 92), GPQA Diamond (5 / 187, score 93.80). 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

General Knowledge

14 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
93.80
5 / 187
GPQA Diamond
91.90
14 / 187
GPQA Diamond
91
17 / 187
MMLU Pro
90
2 / 132
ARC-AGI
87.50
20 / 68
ARC-AGI
75
27 / 68
LiveBench
Low
63.90
54 / 115
LiveBench
High
73.39
24 / 115
HLE
45.80
40 / 172
HLE
41
60 / 172
HLE
37.50
69 / 172
HLE
37.20
70 / 172
ARC-AGI-2
45.10
26 / 62
ARC-AGI-2
31.10
32 / 62

Common Sense

1 evaluations
Benchmark / mode
Score
Rank/total
SimpleQA
72.10
6 / 47

Coding and Software Engineer

2 evaluations
Benchmark / mode
Score
Rank/total
LiveCodeBench
92
2 / 123
SWE-bench Verified
76.20
36 / 112

Math and Reasoning

5 evaluations
Benchmark / mode
Score
Rank/total
AIME2025
95
25 / 107
AIME 2026
90.60
14 / 18
FrontierMath
38
10 / 60
FrontierMath - Tier 4
Standard Mode
18.80
16 / 80
FrontierMath - Tier 4
18.80
16 / 80

Common Sense Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
Simple Bench
Thinking Mode
76.40
5 / 63

Agent Level Benchmark

4 evaluations
Benchmark / mode
Score
Rank/total

Instruction Following

2 evaluations
Benchmark / mode
Score
Rank/total
IF Bench
70
13 / 30
IF Bench
70
13 / 30

AI Agent - Information Search

1 evaluations
Benchmark / mode
Score
Rank/total
BrowseComp
59.20
38 / 53

AI Agent - Tool Usage

3 evaluations
Benchmark / mode
Score
Rank/total
MCP-Atlas
Standard ModeTools
70.30
15 / 27
Terminal Bench 2.0
56.90
25 / 47
Terminal Bench 2.0
54.20
29 / 47

Productivity Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
GDPval-AA
35
18 / 21

Long Context

1 evaluations
Benchmark / mode
Score
Rank/total
AA-LCR
71
3 / 15

Claw-style Agent Evaluation

1 evaluations
Benchmark / mode
Score
Rank/total
Pinch Bench
Thinking ModeTools
70.70
31 / 37
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Gemini 3.0 Pro (Preview 11-2025)

Publisher

Google Deep Mind
Google Deep Mind
View publisher details
Gemini 3.0 Pro preview-11-2025

Model Overview

Gemini 3.0 Pro (Preview 11-2025) is a multimodal model from Google Deep Mind, released on 2025-11-18.

It accepts text, image, audio, and video input and produces text and audio output. Its cataloged capabilities include Reasoning model and Multilingual. The recorded context window is 1000K, and the recorded maximum output is 64K.

The model weights are proprietary and are not published for download. The page records 6 API pricing rules from Google Deep Mind; current provider pricing and conditions should be checked before deployment. The evaluation section contains 36 cataloged benchmark results with their recorded modes and scores. The page links 3 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.

Gemini 3.0 Pro (Preview 11-2025)

FAQ

What is Gemini 3.0 Pro (Preview 11-2025)?

Gemini 3.0 Pro (Preview 11-2025) is a multimodal model from Google Deep Mind, released on 2025-11-18. It accepts text, image, audio, and video input and returns text and audio output. The recorded context window is 1000K, and the recorded maximum output is 64K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.

What input and output modalities does Gemini 3.0 Pro (Preview 11-2025) support?

The current model record lists text, image, audio, and video as input and text and audio as output.

What are the main recorded specifications for Gemini 3.0 Pro (Preview 11-2025)?

The recorded context window is 1000K, and the recorded maximum output is 64K. Fields without a source-backed value remain undisclosed.

Does Gemini 3.0 Pro (Preview 11-2025) have API pricing?

The page records 6 API pricing rules from Google Deep Mind; current provider pricing and conditions should be checked before deployment.

Are benchmark results available for Gemini 3.0 Pro (Preview 11-2025)?

The evaluation section contains 36 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is Gemini 3.0 Pro (Preview 11-2025) open source?

The model weights are proprietary and are not published for download. Review the linked license text before commercial or derivative use.

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