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  4. Gemini 3 Pro
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.

Visit GoogleAnnouncement
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, which Google officially describes as its most intelligent model family to date, built on a foundation of state-of-the-art reasoning. 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; knowledge cutoff January 2025

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

40.6%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science90.8%
Humanity's Last Exam39.7%
SciCode - Scientific Coding56.1%
Instruction Following70.4%
Long Context Reasoning73.0%
τ²-Bench - Agentic Tasks87.1%
TerminalBench - System Control41.7%
Specs
Context window
1.0Mtokens
Input pricing
$2per 1M tokens
Output pricing
$12per 1M tokens
Cached input
$0.20per 1M tokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderGoogleAnthropicAnthropic
Release DateNovember 18, 2025July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window
1.0M
Best Context Window
1M1M
Pricing (per 1M tokens)
Input Pricing
$2
Best Input Pricing
$5$10
Output Pricing
$12
Best Output Pricing
$25$50
Modalities
Inputs
audiofileimagetextvideo
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index40.6
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
Gemini 3 Pro
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

91%
Gemini 3 Pro
GPQA Benchmark
Score: 91%
Gemini 3 Pro
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

40%
Gemini 3 Pro
Humanity's Last Exam
Score: 40%
Gemini 3 Pro
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

73%
Gemini 3 Pro
Long Context Reasoning
Score: 73%
Gemini 3 Pro
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

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