Gemini 3 Pro

Gemini 3 Pro was introduced through a Google Developers Blog announcement on November the listed price, 2025, marking its integration directly into the Gemini CLI environment. The model is positioned as Google's most intelligent offering at the time, designed to elevate command-line productivity through state-of-the-art reasoning capabilities. Its deployment emphasizes agentic coding support, enabling more sophisticated engineering workflows within the terminal. The rollout was managed gradually to ensure both speed and reliability for users accessing it through the CLI.

The integration targets complex engineering tasks by combining advanced reasoning with enhanced tool-use functionality, allowing developers to execute more accurate commands and build smarter, tailored workflows. Gemini 3 Pro's presence in Gemini CLI reflects Google's strategy of embedding its top-tier model into developer-facing tools, supporting tasks that range from code generation to multi-step problem solving. Access was initially extended to subscribers of Google's premium AI plans, underscoring its positioning as a high-capability resource for professional development environments.

OpenCodegemini-3-progemini-prodeprecated

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Quick Info

Provider: OpenCode
Model key: gemini-3-pro
Release date: Nov 18, 2025
Last updated: Nov 18, 2025
Knowledge cutoff: 2025-01
AI SDK package: @ai-sdk/google
Input modalities
Output modalities
Capabilities

Cost

Input token cost: $2.00
Output token cost: $12.00

Limits

Output tokens: 65,536 tokens
Context window: 1,048,576 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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CoverageBenchmark

The BenchLM aggregator page provides a Gemini 3 Pro model profile with a capability score of 66.4/100, ranking it 31 of 232 models, with 12 source-displayable benchmark rows as of September 10, 2026. Its strongest eligible category is Multimodal & Grounded (rank 17 of 87), while Agentic is the lowest at rank 26 of 152, The page lists API pricing at $2 input and $12 output per million tokens, a reported 2M-token context window, a blended price of $7 per million tokens, throughput of 109 tok/s, and a 32.65-second first-token latency, with figures dated September 10, 2026. Note that BenchLM itself flags the page as having no stored dire