Launch signal from X and official blog

On March 3, 2026 (UTC), Google DeepMind posted on X that Gemini 3.1 Flash-Lite has landed, describing it as the most cost-efficient model in the Gemini 3 series. At collection time, the post recorded roughly 7,804 likes, 267 replies, and 1,233,045 views. The announcement aligns with Google’s detailed release note, Gemini 3.1 Flash-Lite: Built for intelligence at scale.

Published economics and performance claims

Google says Flash-Lite is priced at $0.25 per 1M input tokens and $1.50 per 1M output tokens. The same post cites Artificial Analysis benchmarks claiming 2.5X faster Time to First Answer Token and a 45% increase in output speed versus Gemini 2.5 Flash while maintaining similar or better quality. Google also references benchmark figures including Elo 1432 on Arena.ai, 86.9% on GPQA Diamond, and 76.8% on MMMU Pro.

Deployment implications for builders

The rollout is described as preview availability via the Gemini API in Google AI Studio and enterprise access through Vertex AI. Google positions the model for high-volume tasks such as translation, moderation, and responsive app experiences where latency and cost are both hard constraints. In practice, this launch is a direct play for production workloads that need predictable cost profiles without giving up multimodal and reasoning coverage.

Sources: Google DeepMind X post, Google blog post

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Google DeepMind unveils Gemini 3.1 Flash-Lite as low-cost, high-speed model