# Gemini 1.5 Flash ![Organization](https://img.shields.io/badge/Org-Google%20DeepMind-4285F4) ![Context](https://img.shields.io/badge/Context-1M%20tokens-1f6feb) ![Pricing](https://img.shields.io/badge/Price-%240.075%20%2F%20%240.30%20per%201M-2da44e) ![License](https://img.shields.io/badge/License-Proprietary-d29922) ![Modality](https://img.shields.io/badge/Modality-Multimodal-8957e5) ![Released](https://img.shields.io/badge/Released-May%202024-555) > **Quick answer:** Gemini 1.5 Flash (released May 14, 2024) is Google DeepMind's fast production model with a 1-million-token context window. At $0.075/$0.30 per million tokens, it is designed for high-throughput tasks requiring broad multimodal capabilities — text, images, audio, and video — at a fraction of Pro pricing. ## At a Glance **Where Gemini 1.5 Flash leads** - 1M-token context window — the first model to offer this at scale when launched - True native multimodality: processes text, images, audio, video, and PDFs in a single model call - Fast response times optimised for production-scale batch and real-time workloads - Used widely in Google's own products and Workspace integrations **Where it lags** - Reasoning and coding benchmarks well below Gemini 1.5 Pro and the Gemini 3 family - Superseded by Gemini 2.0 Flash for most new builds requiring better quality **Best for:** large-document analysis, audio/video understanding, high-volume classification, and cost-sensitive multimodal pipelines. ## What Gemini 1.5 Flash Is Gemini 1.5 Flash was released at Google I/O 2024 alongside Gemini 1.5 Pro. Where Pro targeted maximum quality, Flash targeted speed and scalability — built on the same architecture (Mixture of Experts) but with a narrower, faster-activating parameter budget. The result was a model that could process hour-long videos, thousands of pages of text, or mixed audio/text inputs at a price accessible for production deployments. Flash's defining feature at launch was the full 1M-token context window (expandable to 2M in limited preview) — a 10× increase over GPT-4's 128K that opened entirely new use cases in document understanding, codebase analysis, and long-session agents. ## Specifications | Field | Value | |---|---| | Organization | Google DeepMind | | API identifier | `gemini-1.5-flash` | | Context window | 1,000,000 tokens | | Max output | 8,192 tokens | | License | Proprietary | | Release date | May 14, 2024 | | Knowledge cutoff | May 2024 | | Modality | Multimodal (text, image, audio, video, documents) | | Architecture | Mixture of Experts | ## Pricing | Tier | Input (per 1M tokens) | Output (per 1M tokens) | |---|---|---| | Up to 128K tokens/request | $0.075 | $0.30 | | Over 128K tokens/request | $0.15 | $0.60 | Source: [Google AI pricing](https://ai.google.dev/pricing). ## Public Benchmark Scores | Benchmark | Score | Source | Date | |---|---|---|---| | MMLU | 78.9% | [Google — Gemini 1.5 Flash](https://deepmind.google/technologies/gemini/flash/) | 2024-05 | | MATH | 77.9% | [Google — Gemini 1.5 Flash](https://deepmind.google/technologies/gemini/flash/) | 2024-05 | | HumanEval | 74.3% | [Google — Gemini 1.5 Flash](https://deepmind.google/technologies/gemini/flash/) | 2024-05 | *Scores reported by Google. Not Benchgen measurements.* ## Gemini 1.5 Flash vs Alternatives | Model | Context | Price (in/out per 1M) | Modality | |---|---|---|---| | **Gemini 1.5 Flash** | 1M | $0.075 / $0.30 | Multimodal | | [Gemini 1.5 Flash 8B](/models/google/gemini-1-5-flash-8b) | 1M | $0.0375 / $0.15 | Multimodal | | [Gemini 2.0 Flash](/models/google/gemini-2-0-flash) | 1M | $0.10 / $0.40 | Multimodal | | [GPT-4o (May 2024)](/models/openai/gpt-4o-v1) | 128K | $2.50 / $10 | Multimodal | Gemini 1.5 Flash significantly undercuts GPT-4o on price while offering 8× the context. Gemini 2.0 Flash supersedes it with better quality at a slightly higher price. *(Scores from respective announcements; not Benchgen measurements.)* ## Related Models & Benchmarks - Compare: [Gemini 1.5 Pro](/models/google/gemini-1-5-pro) · [Gemini 2.0 Flash](/models/google/gemini-2-0-flash) · [Gemini 3 Flash](/models/google/gemini-3-flash) - Benchmarks: [MMLU-Pro](/benchmarks/mmlu-pro) ## Frequently Asked Questions

What is Gemini 1.5 Flash?

Gemini 1.5 Flash is Google DeepMind's fast, production-scale model with a 1M-token context window. Released May 2024, it processes text, images, audio, and video at $0.075/$0.30 per million tokens.

How much does Gemini 1.5 Flash cost?

$0.075 per million input tokens and $0.30 per million output tokens (for requests up to 128K tokens). Doubles for longer requests.

--- *Specs sourced from [Google — Gemini 1.5 Flash](https://deepmind.google/technologies/gemini/flash/). Last updated 2026-06-19.* --- # Gemini 1.5 Flash Gemini 1.5 Flash is a large language model developed by Google.

Gemini 1.5 Flash — Evaluations

Evaluations