Google
Released November 18, 2025

Gemini 3 Pro

Google Gemini 3 Pro: Multimodal reasoning model with dynamic thinking_level control, thought signatures, media_resolution parameters, and 1M token context.

Inputs
Audio
File
Image
Text
Video
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Gemini 3 Pro - Natively Multimodal Reasoning with Dynamic Thinking by Default

Gemini 3 Pro is Google's Pro-tier model in the Gemini 3 series. It is natively multimodal - accepting text, images, video, audio, and PDFs as inputs to a single reasoning model. The original gemini-3-pro-preview endpoint now redirects to gemini-3.1-pro-preview, its direct successor based on the same architecture.

TraitDetail
thinking_level parameterControls the maximum depth of internal reasoning before responding; replaces the legacy thinking_budget parameter; defaults to high (dynamic) for Gemini 3 Pro
Thought signaturesEncrypted representations of the model's internal reasoning process, maintained across API calls; required in stateless mode; automatically managed in stateful mode via the Interactions API
media_resolution parameterGemini 3-specific API parameter for granular control over multimodal vision processing resolution per request
Context window1M token input, 64k token output

How thinking_level Differs from Prior Gemini Generations

Gemini 2.x used a thinking_budget parameter. Gemini 3 replaces this with thinking_level (low, medium, high), which sets a relative reasoning depth allowance rather than a strict token count. The model treats these as guidance, not hard limits. Mixing both parameters in the same request returns a 400 error - they are mutually exclusive.

Benchmark Performance

Independent evaluations · Artificial Analysis

28.0%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science90.8%
Humanity's Last Exam39.7%
SciCode - Scientific Coding56.1%
Instruction Following70.4%
Long Context Reasoning76.0%
τ²-Bench - Agentic Tasks87.1%
TerminalBench - System Control41.7%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderGoogleAnthropicAnthropic
Release DateNovember 18, 2025September 22, 2026September 28, 2026
Knowledge Cutoff--Jun 2026
Context & Limits
Context Window
1.0M
Best Context Window
1M1M
Pricing (per 1M tokens)
Input Pricing
$2
Best Input Pricing
$4
$2
Best Input Pricing
Output Pricing$12$20
$10
Best Output Pricing
Modalities
Inputs
audiofileimagetextvideo
textimagefile
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index28.0
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
Gemini 3 Pro
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

40%
Gemini 3 Pro
Humanity's Last Exam
Score: 40%
Gemini 3 Pro
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

76%
Gemini 3 Pro
Long Context Reasoning
Score: 76%
Gemini 3 Pro
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

56%
Gemini 3 Pro
SciCode Benchmark
Score: 56%
Gemini 3 Pro
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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