PHGemini 3.1 Flash‑Lite is Google’s new ultra‑fast, low‑cost Gemini 3‑series model aimed at high‑volume, production workloads like translation, moderation, and UI/simulation generation.
What it is
- A new Gemini 3‑series model positioned as the fastest and most cost‑efficient option in the lineup, optimized for high‑throughput developer and enterprise use.
- Available in preview via the Gemini API (Google AI Studio) and Vertex AI for enterprises.
Pricing and performance
- Pricing: $0.25 per 1M input tokens and $1.50 per 1M output tokens, significantly below larger models.
- Performance vs 2.5 Flash:
- About 2.5× faster time to first token.
- About 45% higher output speed.
- Similar or better quality despite being lighter.
Benchmarks and quality
- Elo score 1432 on the Arena.ai leaderboard.
- Strong reasoning and multimodal benchmarks for its tier, including:
- 86.9% on GPQA Diamond.
- 76.8% on MMMU Pro.
- In several cases it surpasses older, larger Gemini models like 2.5 Flash.
Key capabilities and use cases
- Built for “adaptive intelligence at scale,” with configurable “thinking levels” in AI Studio and Vertex AI so developers can trade off speed vs depth of reasoning per task.
- High‑volume, cost‑sensitive tasks: translation, content moderation, bulk image/content analysis, large‑scale sorting.
- More complex workflows: generating user interfaces and dashboards, creating simulations, following complex instructions, building SaaS agents that execute multi‑step business tasks.
Early users and positioning
- Early adopters on AI Studio and Vertex AI, including companies like Latitude, Cartwheel, and Whering, are already using it for large‑scale, complex workloads, citing “larger‑tier” style reasoning with better efficiency.
- Overall, Flash‑Lite is positioned as the go‑to Gemini 3 model when you need very low latency and cost but still solid reasoning and multimodal understanding for production‑scale apps.
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