Stay free if you only need access to gemini 2.5 pro with rate limits and text, image, and basic multimodal chat. Upgrade if you need production api access to gemini 2.5 pro and function calling and tool use. Most solo builders can start free.
Why it matters: Gemini 3.1 Pro does not exist — users arriving here should evaluate Gemini 2.5 Pro or wait for an official announcement from Google DeepMind
Available from: Google One AI Premium
Why it matters: API pricing can become expensive for high-volume production workloads with long contexts; input pricing starts at $1.25 per million tokens under 128K and $2.50 per million for longer prompts
Available from: Google One AI Premium
Why it matters: Free-tier rate limits in the Gemini app and AI Studio throttle heavy users, requiring paid plans for sustained production use
Available from: Google One AI Premium
Why it matters: Heavy reliance on the Google Cloud ecosystem may not suit teams standardized on AWS or Azure infrastructure
Available from: Google One AI Premium
Why it matters: Output token pricing at $10 per million tokens is higher than some competing models for write-heavy workloads
Available from: Google One AI Premium
Why it matters: Store more data and handle larger projects. Prevents hitting usage walls.
Available from: Google One AI Premium
No. As of April 2026, Gemini 3.1 Pro has not been announced or released by Google DeepMind. Google's confirmed Gemini lineup has progressed through versions 1.0, 1.5, 2.0, and 2.5 Pro. There is no public roadmap indicating a version numbered 3.1. Users should use Gemini 2.5 Pro, which is the current frontier model in this family.
As of April 2026, Gemini 2.5 Pro is the latest confirmed release in the Gemini Pro family. It offers up to 1 million tokens of context, native multimodal processing, agentic capabilities, and is available through the Gemini app, Google AI Studio, and Vertex AI.
Gemini 2.5 Pro follows a freemium model. The Gemini app offers free access with rate limits. Google One AI Premium costs $19.99/month and includes higher quotas, Workspace integrations, and 2TB storage. API pricing through Google AI Studio starts at $1.25 per million input tokens for prompts under 128K tokens, $2.50 per million for longer contexts, and $10 per million output tokens. Check ai.google.dev/pricing for current rates.
Gemini 2.5 Pro competes with models like GPT-4o, Claude Opus 4, and Llama 3. It tends to lead on long-context and video understanding tasks due to the 1-million-token context window and native multimodality. Other frontier models are strong competitors on coding, agentic workflows, and extended writing. Most teams benchmark candidates against their own evaluation sets, since relative strengths shift with each release.
Yes. Through Vertex AI, Gemini Pro models are available for commercial and enterprise use with Google Cloud's standard data protection, IAM, audit logging, and regional hosting commitments. Customer data sent through Vertex AI is not used to train Google's foundation models, which is important for regulated industries such as finance, healthcare, and government.
Start with the free plan — upgrade when you need more.
Get Started Free →Still not sure? Read our full verdict →
Last verified March 2026