Skip to main content
Google Gemini models offer large context windows (up to 1M tokens), strong multilingual capability, and competitive latency. gemini-2.5-flash is the stable production recommendation for most agents — good speed-quality balance. The Gemini 3.x series is the newer generation with higher capability.

Quick config

To use your own Google API key, connect it at platform.bolna.ai/auth/google.

Supported models

Recommendation: Use gemini-2.5-flash for proven production stability. Try gemini-3.5-flash or gemini-3.1-flash-lite for improved performance on newer deployments.

Key settings


Multilingual support

Gemini models have strong native multilingual capability. For Indian language agents (Hindi, Tamil, Bengali, etc.), Gemini is a good alternative to Sarvam if you need broader LLM capability alongside multilingual handling. Always set the language explicitly in your prompt — Gemini handles it well, but auto-detection adds latency.

FAQ

Both are stable. gemini-2.5-flash is the battle-tested choice with predictable performance. gemini-3.5-flash or gemini-3.1-flash-lite offer newer capability and are worth testing — especially for complex reasoning tasks. Switch once you’ve validated quality on your agent.
Comparable latency. Gemini has an edge on multilingual tasks and large-context scenarios (1M token window). GPT-5.4-mini has a slight edge on English instruction following consistency. Test both on your specific use case.
Yes. Connect at platform.bolna.ai/auth/google. API costs will be charged to your Google account.