Gemini 1.0 Models by Google DeepMind
Last refreshed 2026-05-19. Next refresh: weekly.
Details
Capabilities
Links
WebsiteAbout
Google's Gemini 1.0 is a family of large language models (LLMs) that excels in capability and versatility 126. The Gemini family comprises three distinct models tailored to different tasks and hardware requirements: Gemini Ultra, aimed at tackling highly complex tasks; Gemini Pro, a flexible all-round model; and Gemini Nano, optimized for efficiency and on-device usage 16. These models are multimodal, capable of processing diverse data types such as text, code, audio, images, and video 1411. Known for achieving state-of-the-art performance, Gemini 1.0 models have been rigorously tested, at times surpassing human expert performance 14. Focused on safety and responsibility, these models undergo comprehensive safety evaluations before deployment 1.
Decision facts
- Best fit
- vision and multimodal workstructured outputscoding
- Capability starting point
- Gemini 1.0 Pro on Google Vertex AI with 33k context and structured outputs and multimodal inputs
- Lowest tracked input
- Gemini 1.0 Pro on Google Vertex AI · $0.125/1M · GCP Vertex AI
- Closest related family
- T5Gemma
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 12k context, structured outputs, and multimodal inputs.
Use when the workload needs 32k context and structured outputs.
Use when the workload needs 33k context, structured outputs, and multimodal inputs.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Gemini 1.0 Pro Vision | Use when the workload needs 12k context, structured outputs, and multimodal inputs. | 2024-04 | 12k contextstructured outputsmultimodal inputs | Current |
| Gemini 1.0 Ultra | Use when the workload needs 1m context. | 2023-12 | 1m context | Current |
| Gemini 1.0 Pro | Use when the workload needs 32k context and structured outputs. | 2023-12 | 32k contextstructured outputs | Current |
| Gemini 1.0 Nano | Use when the workload needs 32k context. | 2023-12 | 32k context | Current |
| Gemini 1.0 Pro on Google Vertex AI | Use when the workload needs 33k context, structured outputs, and multimodal inputs. | 2023-12 | 33k contextstructured outputsmultimodal inputs | Current |
Release Timeline
2 release groupsSpecifications(5 models)
| Model | Released | Context | Vision | Multimodal | Structured Outputs |
|---|---|---|---|---|---|
| Gemini 1.0 Pro Vision | 2024-04 | 12k | Yes | No | Yes |
| Gemini 1.0 Ultra | 2023-12 | 1m | No | No | No |
| Gemini 1.0 Pro | 2023-12 | 32k | No | No | Yes |
| Gemini 1.0 Nano | 2023-12 | 32k | No | No | No |
| Gemini 1.0 Pro on Google Vertex AI | 2023-12 | 33k | Yes | Yes | Yes |
Available From(1 provider)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Gemini 1.0 Pro on Google Vertex AI | GCP Vertex AI | $0.125 | $0.375 | Serverless |
| Gemini 1.0 Pro | GCP Vertex AI | $0.5 | $1.5 | Serverless |
| Gemini 1.0 Pro Vision | GCP Vertex AI | $0.5 | $1.5 | Serverless |
| Gemini 1.0 Ultra | GCP Vertex AI | $1 | $3 | Serverless |
