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Gemini: A Series of Intelligent Multimodal Models from Google
Gemini is Google’s flagship family of highly capable, natively multimodal AI models. Built from the ground up, it is designed to understand, operate across and combine different types of information including text, code, audio, images and video.
Designed for incredible scalability, the Gemini models come in distinct sizes to meet various computational needs. This flexibility allows the technology to run efficiently on everything from on-device mobile environments to massive, complex data centers.
Powered by this scalability, Gemini now drives everyday Google products to elevate user productivity, reasoning, and creativity. Most notably, Google’s newly released Gemini 3.8 Flash takes these capabilities to the next level. Built as a cost-efficient model for complex tasks, it delivers exceptional reasoning and lightning-fast performance without heavy compute overhead.
Gemini 3.8 Flash:Best for tackling complex agentic tasks at scale
Released on September 2, 2026, Gemini 3.8 Flash is Google’s smartest model to date for coding and autonomous agents. It delivers frontier-level reasoning and execution while maintaining lightweight, cost-efficient speed.

Long-Horizon Task Execution
Gemini 3.8 Flash brings elite intelligence to long-horizon software engineering without the heavy compute tax. As shown on the DeepSWE v1.1 benchmark, it matches or outperforms industry-leading frontier models in solving complex codebases, delivering near-peak accuracy while drastically undercutting rival models in average cost per task.
Advanced Multi-Step Reasoning
Gemini 3.8 Flash brings elite multi-step reasoning into practical enterprise applications. Built to work harder on difficult tasks, it leads the HLE-Verified benchmark for multidisciplinary expert reasoning with a 54.9% score—surpassing Gemini 3.7 Flash (53.6%), GPT-5.6 Terra (51.1%), and Claude Sonnet 5 (31.0%).
Full-Scale Software Engineering Partner
Far beyond basic code generation, Gemini 3.8 Flash acts as a true engineering partner—comprehending full repositories to handle cross-file refactoring, continuous debugging, and root-cause troubleshooting across production-grade environments.
Native Multimodal Intelligence
Built from the ground up to process text, audio, images, and video simultaneously, Gemini 3.8 Flash brings high-speed multimodal understanding to complex real-world workflows. It effortlessly analyzes long-form video streams, dense technical diagrams, UI mockups, and audio inputs alongside code—delivering rich cross-modal reasoning at Flash-tier speed and cost efficiency.
Main Capabilities of Gemini
Gemini exhibits exceptional performance and versatility. Let’s explore some of its notable strengths:
Native Multimodality
Unlike models stitched together from separate components, Gemini is natively multimodal from the outset. It seamlessly processes, analyzes, and combines text, images, audio, and video inputs to understand complex, real-world context instantly.
Sophisticated Reasoning
Gemini excels at making sense of massive amounts of complex written and visual information. Its advanced reasoning capabilities allow it to untangle difficult problems, analyze extensive datasets, and draw logical, accurate conclusions quickly.
Advanced Coding Proficiency
Designed to understand, explain, and generate high-quality code, Gemini supports popular programming languages such as Python, Java, and C++. It can also function as a powerful reasoning engine to help developers debug and optimize complex software systems.
Creative Generation
Beyond analytical tasks, Gemini is a powerful engine for creativity and content creation. It can generate highly nuanced text, brainstorm innovative ideas, and create high-fidelity media, making it an invaluable tool for creators and professionals alike.
Sizes of Google Gemini’s Models
To ensure users and developers have the exact right tool for the job, the Gemini family is structured into distinct sizes—each optimized for a specific balance of speed, cost and reasoning capabilities.
- Flash Lite: The most streamlined and ultra-efficient model. It is built for massive scale, prioritizing extremely low latency and cost-effectiveness for simple, high-frequency tasks.
- Flash: The lightning-fast workhorse. Often used as the default everyday AI, it delivers an excellent balance of speed and intelligence for general tasks and multimodal understanding.
- Pro: The advanced, heavyweight size. It is designed for complex reasoning and high-level coding. It also features a massive context window capable of processing huge context or long videos all at once.
Latest Gemini AI Models Comparison
Below is a detailed table comparing the latest Gemini models in different aspects and benchmarks:
| Aspect/Benchmark | Gemini 3.8 Flash | Gemini 3.7 Flash | Gemini 3.6 Flash | Gemini 3.5 Flash | Gemini 3.5 Flash-Lite | Gemini 3.1 Pro |
| Release Date | Sep 2, 2026 | Aug 13, 2026 | Jul 21, 2026 | May 19, 2026 | Jul 21, 2026 | Feb 19, 2026 |
| Intelligence & Reasoning | Frontier-Class | Exceptional | Very High | High | Moderate-High | Frontier |
| Speed | Fast / High Throughput | Ultra Fast | Fast | Very Fast (4x vs older models) | Lightning Fast (350 tok/s) | Standard |
| Cost Efficiency | ★★★★★ | ★★★★½ | ★★★★ | ★★★ | ★★★★★ | ★★ |
| Primary Use Case | Autonomous coding agents, long-horizon software engineering, multi-file repository refactoring, and high-stakes domain analysis | High-volume production traffic, rapid interactive coding, cost-sensitive automation, and document processing | Efficient multi-step workflows, long-context retrieval, and deep software engineering | General coding and parallel agentic execution loops | High-frequency agentic tasks, low-latency extraction, and high-throughput routing | Deep research, complex agentic coding, and advanced problem-solving |
| GPQA Diamond | 95.3% | ~92% | N/A | 92.2% | 86.9% | 94.3% |
| Terminal-Bench | 90.8% (v2.1) | 81.6% (v2.1) | 78.0% (v2.1) | 76.2% (v2.1) | 54.0% (v2.1) | 68.5% (v2.0) / 73.8% (v2.1) |
| SWE-Bench | 61.6%(Pro) | 60.4%(Pro) | 58.7% (Pro) | 55.1% (Pro) | 54.2% (Pro) | 80.6% (Verified) / 54.2% (Pro) |
Where Can You Use Gemini?
Gemini has been integrated with various Google products and platforms, unlocking its potential to revolutionize the technological landscape.
Google Search
Google has introduced an AI Overviews feature on its search engine, which automatically gives you AI answers to your queries based on the search results.
Google Gemini
You can chat with Gemini directly on https://gemini.google.com/. This is the most direct way to interact with this language model.
Google Apps
Google allows you to access AI assistance, powered by Gemini, on apps like Gmail, Google Docs, Google Sheets, etc, as long as you subscribe to a paid plan of Google One or Google Workspace.
HIX AI
HIX AI also offers seamless access to the newest language models of Gemini. We guarantee a fast and smooth connection to this powerful AI chatbot.
At HIX AI, paid subscribers enjoy unlimited access to our AI chat agent. Beyond the full Gemini series, you can seamlessly harness leading models like ChatGPT, Claude, and more—all within a single interface.
Taking productivity even further, the HIX AI chat agent now supports simultaneous multi-model execution. You can select up to four different models at once to answer the exact same prompt, making it effortless to compare outputs side by side and pinpoint the optimal solution instantly.

Explore Our Other Models
Discover other state-of-the-art models you can chat with on HIX AI.