API Gemini 3.1 Pro — это новейшая универсальная языковая модель (LLM) от Google DeepMind, объединяющая высокую скорость работы с глубокой логикой. Она позволяет разработчикам создавать продвинутых агентов с высочайшей точностью в написании кода, создании творческих текстов и кросс-модальном анализе.

Pricing: Input 100 credits / 1M tokens (≈ $0.50), Output 700 credits / 1M tokens (≈ $3.50). Both are ~70–75% cheaper than official pricing. High-tier top-ups (+10% bonus) bring effective pricing down to ~$0.45 for Input 1M tokens and ~$3.15 for Output 1M tokens.
gemini-3.1-pro-openai

Automatically append previous messages to maintain multi-turn context. May increase token usage.

Grounding with Google Search
Source:Google Search
Thinking process
Reasoning effort

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Complete guide to using gemini-3.1-pro

API Gemini 3.1 Pro на Kie.ai по выгодной цене

Изображение компонентов интерфейса в главном блоке
Разработка креативных интерфейсов с Google Gemini 3.1 Pro API
БенчмаркGemini 3.1 ProGemini 3 ProSonnet 4.6Opus 4.6GPT-5.2GPT-5.3-Codex
Humanity’s Last Exam (No tools)44.40%37.50%33.20%40.00%34.50%—
Humanity’s Last Exam (Search + Code)51.40%45.80%49.00%53.10%45.50%—
ARC-AGI-277.10%31.10%58.30%68.80%52.90%—
GPQA Diamond94.30%91.90%89.90%91.30%92.40%—
Terminal-Bench 2.068.50%56.90%59.10%65.40%54.00%64.70%
SWE-Bench Verified80.60%76.20%79.60%80.80%80.00%—
SWE-Bench Pro (Public)54.20%43.30%——55.60%56.80%
LiveCodeBench Pro (Elo)28872439——2393—
SciCode59%56%47%52%52%—
APEX-Agents33.50%18.40%—29.80%23.00%—
GDPval-AA Elo13171195163316061462—
τ2-bench (Retail)90.80%85.30%91.70%91.90%82.00%—
τ2-bench (Telecom)99.30%98.00%97.90%99.30%98.70%—
MCP Atlas69.20%54.10%61.30%59.50%60.60%—
BrowseComp85.90%59.20%74.70%84.00%65.80%—
MMMU Pro80.50%81.00%74.50%73.90%79.50%—
MMMLU92.60%91.80%89.30%91.10%89.60%—
MRCR v2 (128k avg)84.90%77.00%84.90%84.00%83.80%—
MRCR v2 (1M pointwise)26.30%26.30%Not supportedNot supportedNot supported—
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Affordable Gemini 3.1 Pro API pricing on Kie.ai is structured to support both experimentation and large-scale production workloads. Usage-based billing ensures predictable cost control, while efficient token management allows teams to optimize spending without sacrificing reasoning performance. Gemini 3.1 Pro API pricing is designed to remain sustainable as application demands grow.

Gemini 3.1 Pro API documentation on Kie.ai provides clear technical references covering authentication, request schemas, structured outputs, function calling, and deployment workflows. Well-organized developer guides and parameter specifications reduce integration time and support advanced system design. Gemini 3.1 Pro API documentation ensures consistent implementation across development and production environments.

Kie.ai provides access to a rich Gemini API model series in addition to Gemini 3.1 Pro API. This enables developers to select models based on reasoning depth, latency requirements, multimodal capabilities, and workload complexity. Managing a diverse Gemini API model series within a unified platform simplifies architectural decisions and supports multi-model deployment strategies.

Continuous 24/7 support ensures stable integration and reliable production deployment of Gemini 3.1 Pro API. Kie.ai provides assistance for implementation issues, architecture optimization, and performance troubleshooting. Dedicated support reduces operational risk and maintains consistent service availability for enterprise-grade applications.