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Google · API-only (closed weights)

Gemini 3 Pro

Gemini 3 Pro is an API-only (closed weights) language model from Google, released November 18, 2025. On the Epoch Capabilities Index it scores 153.0, rank 55 of 256 rated models.

Gemini 3 Pro is the next generation in the Gemini series of models, a suite of highly-capable, natively multimodal, reasoning models. Gemini 3 Pro is now Google’s most advanced model for complex tasks, and can comprehend vast datasets, challenging problems from different information sources, including text, audio, …

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Lab
Google
Released
November 18, 2025
Weights
API-only (closed weights)
Parameters
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Context
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Price / M tokens
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Epoch ECI
153.0 #55

Strengths by category

ModelTape's 0–100 fit on Epoch AI benchmark results.

CategoryScoreBased on
Reasoning31.3SimpleBench, Humanity's Last Exam
Math61.7ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-2025-02-28-Private, FrontierMath-Tier-4-2025-07-01-Private
Coding53.0GSO-Bench, Terminal Bench, SWE-bench Verified
Agent32.2Balrog, Remote Labor Index

Benchmark results

Benchmark (Epoch AI)Score
GPQA Diamond93.9%
OTIS Mock AIME91.4%
SWE-bench Verified72.9%
SimpleBench71.7%
Terminal-Bench69.4%
FrontierMath-2025-02-28-Private66.0%
Balrog58.1%
Humanity's Last Exam37.5%
FrontierMath-Tier-4-2025-07-01-Private31.3%
ProofBench20.0%
GSO-Bench18.6%
Remote Labor Index1.3%

Links

Announcement · Epoch AI benchmarks

Models with a similar score

Claude Sonnet 5 · DeepSeek V4.1 Flash · GPT-5.6 Luna · GPT-6 Luna · Claude Opus 4.6 · Grok 4.7 · Gemini 3.1 Pro · Qwen3.8 Max (0902)

More from Google

Gemini 4 Carbon · Gemini 4 Argon · Gemini 3.8 Flash · Gemini 3.7 Flash · Gemini 3.6 Flash · Gemini 3.5 Flash-Lite · Gemini 3.5 Flash Cyber · Gemma 4 E4B

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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