# Gemini 1.0 Ultra

> Google's first flagship Gemini — the first model to beat human experts on MMLU, shipped inside Gemini Advanced.

- Maker: Google
- Line: Gemini Pro
- Canonical page: https://ai-tldr.dev/models/gemini-1-0-ultra/
- Updated: 2026-06-18

## In short

Gemini 1.0 Ultra is Google's first flagship Gemini — the first model to beat human experts on MMLU, shipped inside Gemini Advanced. Google released it on 8 February 2024 as an API-only model. It has a 32K-token context window.

## Facts

| Fact | Value | Source |
| --- | --- | --- |
| Context window | 32K (max output Undisclosed) | [1] |
| Input price | $19.99 / month | [2] |
| Licence | Proprietary · API only | [1] |
| Released | 8 February 2024 | [3] |
| Parameters | Undisclosed | [1] |
| Knowledge cutoff | Undisclosed | [1] |

## Sources

1. [Gemini models — Google DeepMind](https://deepmind.google/models/gemini/)
2. [Bard becomes Gemini; Gemini Advanced with Ultra 1.0](https://blog.google/products-and-platforms/products/gemini/bard-gemini-advanced-app/)
3. [Introducing Gemini — Google's announcement (benchmarks)](https://blog.google/innovation-and-ai/technology/ai/google-gemini-ai/)

## Overview

Gemini 1.0 Ultra was the largest and most capable model in Google's first Gemini family. Google previewed it on 6 December 2023 as the top tier above Gemini Pro and Gemini Nano, then launched it to the public on 8 February 2024 inside a product called Gemini Advanced — the same day Google renamed the Bard chatbot to Gemini. It was Google's headline answer to GPT-4 and the model the company used to claim the frontier of 2024-era AI.

Its signature result was MMLU: with a score of 90.0%, Gemini Ultra was the first model to outperform human experts on the 57-subject Massive Multitask Language Understanding test, and Google reported it beat the prior state of the art on 30 of 32 standard academic benchmarks. Because Gemini 1.0 was natively multimodal — trained on text, images, audio and video together rather than bolting vision onto a text model — Ultra also set records on multimodal tests like MMMU (59.4%). Its context window was 32,768 tokens.

Gemini 1.0 Ultra was never sold as a per-token developer API; the only way to use it was the Gemini Advanced tier of the Google One AI Premium plan ($19.99/month, with a two-month free trial), launched in more than 150 countries in English. It was quickly overtaken: just a week later Google announced Gemini 1.5 Pro, which it said matched Ultra's quality using far less compute and added a 1-million-token context window. Ultra was retired and Gemini Advanced moved to the 1.5 line, so today Gemini 1.0 Ultra is a discontinued model of historical interest.

## Benchmarks

- MMLU (CoT): 90% ([source](https://blog.google/innovation-and-ai/technology/ai/google-gemini-ai/))
- GSM8K: 94.4% ([source](https://arxiv.org/abs/2312.11805))
- MATH: 53.2% ([source](https://arxiv.org/abs/2312.11805))
- BIG-Bench-Hard: 83.6% ([source](https://arxiv.org/abs/2312.11805))
- HumanEval (pass@1): 74.4% ([source](https://arxiv.org/abs/2312.11805))
- Natural2Code: 74.9% ([source](https://arxiv.org/abs/2312.11805))
- DROP (F1): 82.4% ([source](https://arxiv.org/abs/2312.11805))
- HellaSwag: 87.8% ([source](https://arxiv.org/abs/2312.11805))
- MMMU (pass@1): 59.4% ([source](https://blog.google/innovation-and-ai/technology/ai/google-gemini-ai/))

## Pricing

- Input: $19.99 / month Gemini Advanced subscription

Gemini 1.0 Ultra had no per-token API pricing. The only way to use it was the Gemini Advanced tier of the Google One AI Premium plan — $19.99/month, with a two-month free trial at launch.

Source: https://blog.google/products-and-platforms/products/gemini/bard-gemini-advanced-app/

## Strengths

- First model to cross 90% on MMLU (90.0%), beating the human-expert baseline for the first time
- Beat prior state of the art on 30 of 32 widely-used academic benchmarks at launch (per Google)
- Strong grade-school math reasoning — 94.4% on GSM8K with chain-of-thought
- Natively multimodal across text, image, audio and video, with a then-record 59.4% on MMMU
- Google's flagship GPT-4 competitor for early 2024, shipped to consumers via Gemini Advanced

## Best for

- Advanced consumer chat assistant inside Gemini Advanced (reasoning, coding help, creative writing)
- Complex multi-step reasoning and analysis tasks Google positioned for the 'highly complex' tier
- Multimodal question answering over images, charts and documents
- Coding assistance and code generation for everyday programming tasks
- Tutoring, planning and brainstorming for Google One AI Premium subscribers

## Gemini Pro versions

- [Gemini 3.5 Pro](https://ai-tldr.dev/models/gemini-3-5-pro/) (19 May 2026)
- [Gemini 3.1 Pro](https://ai-tldr.dev/models/gemini-3-1-pro/) (19 February 2026)
- [Gemini 3 Pro](https://ai-tldr.dev/models/gemini-3-pro/) (18 November 2025)
- [Gemini 2.5 Pro](https://ai-tldr.dev/models/gemini-2-5-pro/) (25 March 2025)
- [Gemini 2.0 Pro](https://ai-tldr.dev/models/gemini-2-0-pro/) (5 February 2025)
- [Gemini 1.5 Pro](https://ai-tldr.dev/models/gemini-1-5-pro/) (15 February 2024)
- Gemini 1.0 Ultra (8 February 2024) — this page
- [Gemini 1.0 Pro](https://ai-tldr.dev/models/gemini-1-0-pro/) (13 December 2023)

## FAQ

### When was Gemini 1.0 Ultra released?

Google previewed Gemini 1.0 Ultra on 6 December 2023 as the top tier of the Gemini 1.0 family, then launched it publicly on 8 February 2024 inside Gemini Advanced — the same day Bard was renamed Gemini.

### How good was Gemini 1.0 Ultra on benchmarks?

It scored 90.0% on MMLU, making it the first model to beat the human-expert baseline on that test, and Google said it topped the prior state of the art on 30 of 32 standard academic benchmarks. It also scored 94.4% on GSM8K and a then-record 59.4% on the multimodal MMMU benchmark.

### How much did Gemini 1.0 Ultra cost, and was there an API?

There was no per-token developer API for Gemini 1.0 Ultra. The only way to use it was the Gemini Advanced tier of the Google One AI Premium plan — $19.99 per month, with a two-month free trial at launch.

### Is Gemini 1.0 Ultra still available?

No. It was retired and replaced by Gemini 1.5 Pro, which Google said matched Ultra's quality at far less compute while adding a 1-million-token context window. Gemini Advanced moved to the 1.5 line, so Gemini 1.0 Ultra is now a discontinued model.

## Links

- [Introducing Gemini — Google's announcement (benchmarks)](https://blog.google/innovation-and-ai/technology/ai/google-gemini-ai/)
- [Bard becomes Gemini; Gemini Advanced with Ultra 1.0](https://blog.google/products-and-platforms/products/gemini/bard-gemini-advanced-app/)
- [Gemini: A Family of Highly Capable Multimodal Models — technical report](https://arxiv.org/abs/2312.11805)
- [Gemini models — Google DeepMind](https://deepmind.google/models/gemini/)
- [Introducing Gemini 1.5 — the model that superseded Ultra](https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/)

Source: AI/TLDR LLM registry, https://ai-tldr.dev/models/gemini-1-0-ultra/