Vendor · Google
Google LLMs
Google develops the Gemini models, which are multimodal by design and deeply integrated with Workspace, Search and Google Cloud. Pro models target hard reasoning and Flash models target speed and price.
We currently review 5 Google models. Entry pricing runs from API: $0.75 in / $3.75 out per M tokens (Gemini 3.8 Flash) to $19.99/mo (Gemini). 2 of them are legacy models that have been superseded, and each is labelled with its replacement.
Family
Gemini
5 versions tracked. Newest first.
Gemini 3.8 Flash, released on 2 September 2026, is Google's newest Flash model, aimed at long-horizon engineering and agent tasks. It is priced at $0.75 and $3.75 per million tokens, a rate Google lists through 31 December 2026, after which it rises to $1.50 a
Gemini 3.1 Pro, released by Google in February 2026, is a multimodal model with strong agentic capabilities. It is listed at $2 and $12 per million tokens for prompts up to 200,000 tokens ($4 and $18 above that) and is offered in preview on the Gemini API.
Legacy model, superseded by Gemini 3.1 Pro. Google DeepMind's flagship Gemini model.
Legacy model, superseded by Gemini 3.8 Flash. Gemini 2.5 Flash is an earlier Google model tuned for speed and low cost, with a very large context window and multimodal input.
Google's multimodal assistant, deeply integrated into Workspace (Docs, Gmail, Sheets, Meet). Strong choice for organizations already on Google's stack.
Frequently asked questions
Which Google model should I start with?
Gemini 3.8 Flash is a sensible place to begin because it is the newest current entry we track. Compare it with the cheaper tier if you mostly need drafting and summarizing, and with the premium tier only for the hardest work.
How does Google pricing work?
Most Google models are sold by usage, priced per million tokens for input and output, while consumer apps use monthly plans. Each model page lists the starting price we verified.
Where can I see how Google models compare with other vendors?
Every model has its own review, and the main LLM index at /llm/ lists all vendors side by side. Popular head-to-head pages are linked from each review.