# Gemini 1.5 Pro

> Google's long-context multimodal model that popularized the 1-million-token window.

- Maker: Google
- Line: Gemini Pro
- Canonical page: https://ai-tldr.dev/models/gemini-1-5-pro/
- Updated: 2026-06-18

## In short

Gemini 1.5 Pro is Google's long-context multimodal model that popularized the 1-million-token window. Google released it on 15 February 2024 as an API-only model. You can use it through Google AI Studio / Gemini API and Google Cloud Vertex AI.

## Facts

| Fact | Value | Source |
| --- | --- | --- |
| Context window | Up to 2,097,152 tokens (2M) at general availability; launched at 1M tokens in Feb 2024, with a 128K standard tier at first (max output 8,192 tokens) | [1] |
| Input price | $1.25 / 1M tokens (prompts ≤128K); $2.50 / 1M tokens (prompts >128K) | [2] |
| Output price | $5.00 / 1M tokens (prompts ≤128K); $10.00 / 1M tokens (prompts >128K) | [2] |
| Licence | Proprietary (Google). Available only as a hosted API; not redistributable. · API only | [1] |
| Released | 15 February 2024 | [3] |
| Parameters | Not publicly disclosed | [1] |
| Knowledge cutoff | November 2023 | [1] |

## Sources

1. [Vertex AI model versions & lifecycle](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/learn/model-versions)
2. [Gemini API pricing guide incl. 1.5 Pro tiers (MetaCTO)](https://www.metacto.com/blogs/the-true-cost-of-google-gemini-a-guide-to-api-pricing-and-integration)
3. [Introducing Gemini 1.5 (Google announcement)](https://blog.google/innovation-and-ai/products/google-gemini-next-generation-model-february-2024/)

## Overview

Gemini 1.5 Pro was Google DeepMind's mid-size multimodal model, announced on February 15, 2024, just two months after the first Gemini 1.0 launch. Its headline feature was an enormous context window: it shipped to early testers with 1 million tokens and later reached 2 million tokens at general availability, far beyond the 128K and 200K windows that rival models offered at the time. That window let a single prompt hold roughly an hour of video, around 11 hours of audio, codebases over 30,000 lines, or 700,000-plus words.

Built on a sparse Mixture-of-Experts (MoE) Transformer, Gemini 1.5 Pro reached quality comparable to the much larger Gemini 1.0 Ultra while using significantly less compute. It was natively multimodal, accepting interleaved text, images, audio, and video in the same request, and it scored 99% on the long-context "needle in a haystack" retrieval test at the full 1-million-token length, a result Google highlighted as evidence the long context was genuinely usable rather than nominal.

Gemini 1.5 Pro is now retired. The 001 version was discontinued on May 27, 2025, and the 002 version (plus the gemini-1.5-pro alias) was shut down on September 24, 2025, after which API calls return errors. Google has steered developers to the newer Gemini 2.0 and 2.5 models. The entry below documents its specs, benchmarks, and historical pricing for reference.

## Benchmarks

- MMLU (5-shot): 85.9% ([source](https://the-decoder.com/gemini-1-5-pro-is-now-the-most-capable-llm-on-the-market-according-to-googles-benchmarks/))
- MATH: 82.9% ([source](https://www.datalearner.com/en/ai-models/pretrained-models/Gemini-1_5-Pro/analysis))
- HumanEval: 89% ([source](https://www.datalearner.com/en/ai-models/pretrained-models/Gemini-1_5-Pro/analysis))
- MBPP: 87.8% ([source](https://www.datalearner.com/en/ai-models/pretrained-models/Gemini-1_5-Pro/analysis))
- MMLU-Pro: 76.1% ([source](https://www.datalearner.com/en/ai-models/pretrained-models/Gemini-1_5-Pro/analysis))
- GPQA Diamond: 53.5% ([source](https://www.datalearner.com/en/ai-models/pretrained-models/Gemini-1_5-Pro/analysis))

## Pricing

- Input: $1.25 / 1M tokens (prompts ≤128K); $2.50 / 1M tokens (prompts >128K) per 1M tokens
- Output: $5.00 / 1M tokens (prompts ≤128K); $10.00 / 1M tokens (prompts >128K) per 1M tokens

Historical paid-tier pricing in effect after the October 1, 2024 price reduction (which cut input ~64% and output ~52%) until the model's retirement. The model is no longer purchasable.

Source: https://www.metacto.com/blogs/the-true-cost-of-google-gemini-a-guide-to-api-pricing-and-integration

## Strengths

- Very long context: up to 2 million tokens at GA, enough to load entire books, codebases, or long videos into a single prompt
- Strong long-context retrieval — 99% accuracy on needle-in-a-haystack at the full 1M-token length
- Native multimodality across text, images, audio, and video in one request
- Efficient MoE design delivered near-1.0-Ultra quality at lower cost
- Context caching support to cut cost on repeated large prompts

## Best for

- Analyzing very long documents, contracts, or research-paper bundles in one pass
- Whole-repository code understanding and Q&A over large codebases
- Summarizing or querying long-form video and audio (lectures, meetings, podcasts)
- Retrieval-augmented workflows where a huge context replaces or supplements a vector database
- Multimodal extraction and reasoning over mixed text/image/audio/video inputs

## How to access

- [Google AI Studio / Gemini API](https://ai.google.dev/gemini-api/docs) — model id `gemini-1.5-pro (retired)`
- [Google Cloud Vertex AI](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/learn/model-versions) — model id `gemini-1.5-pro-002 (retired)`

## 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 (15 February 2024) — this page
- [Gemini 1.0 Ultra](https://ai-tldr.dev/models/gemini-1-0-ultra/) (8 February 2024)
- [Gemini 1.0 Pro](https://ai-tldr.dev/models/gemini-1-0-pro/) (13 December 2023)

## FAQ

### Is Gemini 1.5 Pro still available?

No. Gemini 1.5 Pro is retired. The 001 version was discontinued on May 27, 2025, and the 002 version (plus the gemini-1.5-pro alias) was shut down on September 24, 2025, after which API calls error out. Google recommends migrating to the Gemini 2.0 or 2.5 family.

### How big was the Gemini 1.5 Pro context window?

It launched in February 2024 with a 1-million-token window for early testers (and a 128K standard tier), then reached 2 million tokens (2,097,152) at general availability — large enough to hold roughly an hour of video, about 11 hours of audio, or 700,000-plus words in a single prompt.

### What did Gemini 1.5 Pro cost?

After the October 2024 price cut, the paid tier was $1.25 per million input tokens and $5.00 per million output tokens for prompts up to 128K tokens, doubling to $2.50 / $10.00 per million for prompts over 128K. Those prices applied until the model was retired.

### What architecture did Gemini 1.5 Pro use?

It used a sparse Mixture-of-Experts (MoE) Transformer. Rather than running one large dense network for every token, MoE routes each token through a subset of smaller expert sub-networks, which let Gemini 1.5 Pro match Gemini 1.0 Ultra-level quality using less compute.

## Links

- [Introducing Gemini 1.5 (Google announcement)](https://blog.google/innovation-and-ai/products/google-gemini-next-generation-model-february-2024/)
- [Gemini 1.5 technical report (arXiv)](https://arxiv.org/pdf/2403.05530)
- [Reduced 1.5 Pro pricing & updated models (Google Developers Blog)](https://developers.googleblog.com/en/updated-gemini-models-reduced-15-pro-pricing-increased-rate-limits-and-more/)
- [Gemini 1.5 Pro benchmark scores (DataLearner)](https://www.datalearner.com/en/ai-models/pretrained-models/Gemini-1_5-Pro/analysis)
- [Gemini 1.5 Pro benchmarks per Google's numbers (The Decoder)](https://the-decoder.com/gemini-1-5-pro-is-now-the-most-capable-llm-on-the-market-according-to-googles-benchmarks/)
- [Gemini API pricing guide incl. 1.5 Pro tiers (MetaCTO)](https://www.metacto.com/blogs/the-true-cost-of-google-gemini-a-guide-to-api-pricing-and-integration)
- [Google AI Studio Gemini 1.5 discontinuation & retirement dates](https://techedgeai.com/press-release/google-ai-studio-gemini-1-5-model-discontinuation-2-0-migration/)
- [Vertex AI model versions & lifecycle](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/learn/model-versions)

Source: AI/TLDR LLM registry, https://ai-tldr.dev/models/gemini-1-5-pro/