Google: gemini-3-pro-preview

gemini-3-pro-preview
1M konteks65.5K keluaranAlatVisiAudio masukVideoFileCacheTerstrukturPencarian webStreamingPesan system
Dirilis Nov 18, 2025Batas pengetahuan 2024Diperbarui Nov 18, 2025

Gemini 3 Pro is Google’s flagship frontier model for high-precision multimodal reasoning, combining strong performance across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling, see our docs here: https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks. It delivers state-of-the-art benchmark results in general reasoning, STEM problem solving, factual QA, and multimodal understanding, including leading scores on LMArena, GPQA Diamond, MathArena Apex, MMMU-Pro, and Video-MMMU. Interactions emphasize depth and interpretability: the model is designed to infer intent with minimal prompting and produce direct, insight-focused responses. Built for advanced development and agentic workflows, Gemini 3 Pro provides robust tool-calling, long-horizon planning stability, and strong zero-shot generation for complex UI, visualization, and coding tasks. It excels at agentic coding (SWE-Bench Verified, Terminal-Bench 2.0), multimodal analysis, and structured long-form tasks such as research synthesis, planning, and interactive learning experiences. Suitable applications include autonomous agents, coding assistants, multimodal analytics, scientific reasoning, and high-context information processing.

Mode chat

Harga

Harga input
$0.60/ 1 J token$2.00Diskon 70%
Harga output
$3.60/ 1 J token$12.00Diskon 70%
Endpoint kompatibel openai, geminiVendor Google

Statistik cepat

Deprecation2026

Performa

Memuat data performa...

Pertanyaan yang sering diajukan

Berapa biaya gemini-3-pro-preview per 1M token?

Input diberi harga $0.60 per 1M token, output $3.60 per 1M token. Penagihan per token, tanpa pembulatan ke ukuran batch.

Bagaimana cara saya mengakses gemini-3-pro-preview melalui API?

Kirim permintaan ke endpoint UnoRouter /v1/chat/completions dengan model=gemini-3-pro-preview. Library klien yang kompatibel dengan OpenAI mana pun bekerja. Autentikasi menggunakan token Bearer standar.

Model serupa

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Buat kunci API dan mulai membuat permintaan dalam waktu kurang dari satu menit.

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