Gemini 2.0 Flash Exp vs Gemini 3 Flash
Compare Gemini 2.0 Flash Exp and Gemini 3 Flash side-by-side. See how these vision models stack up in Classification, Image Captioning, OCR, Open Prompt, and Object Detection.
Compare Gemini 2.0 Flash Exp vs Gemini 3 Flash live
Run the same image across every model that supports a task and compare their outputs side-by-side.
Detect and compare bounding boxes across models on the same image.
Upload an image
Drag and drop an image here, or click to browse
Gemini 2.0 Flash Exp is deprecated and can no longer be run. Details and evals are still available on its model page.
Models in this comparison
Gemini 2.0 Flash Exp vs Gemini 3 Flash Comparison Table
Evals updated October 13, 2026Pricing updated October 23, 2026
| Property | Gemini 2.0 Flash Exp | Gemini 3 Flash |
|---|---|---|
| Organization | ||
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Feb 2025 | Dec 2025 |
| Context Window | 1.0M | 1.0M |
| Parameters | Unknown | Unknown |
| License | Proprietary | Proprietary |
| Commercial use | commercial use per vendor terms | commercial use per vendor terms |
| Pricing per 1M tokens | ||
| Input $/1M | No published price | $0.500 |
| Output $/1M | No published price | $3.00 |
| Vision Tasks | ||
| Captioning | Supported | Demo |
| Chart Question Answering | Supported | Supported |
| Classification | Supported | Demo |
| Document Question Answering | Supported | Supported |
| Image Tagging | Supported | Supported |
| Multi-Label Classification | Supported | Supported |
| Object Detection | Supported | Demo |
| OCR | Supported | Demo |
| Vision Language | Supported | Supported |
| Visual Question Answering | Supported | Demo |
| Model Features | ||
| Foundation Vision | Supported | Supported |
| LLMs with Vision Capabilities | Supported | Supported |
| Multimodal Vision | Supported | Supported |
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | Deprecated | 65.7% |
| Avg cost / sample | – | $0.0024 |
| Avg speed / sample | – | 5.83s |
| By task | ||
| Object Detection | – | 38.6% |
| Counting | – | 67.6% |
| Identification | – | 93.8% |
| OCR (low) | – | 63.9% |
| by category |
| |
| OCR (high) | – | 73.1% |
| by category |
| |
| Reasoning (low) | – | 64.9% |
| Reasoning (high) | – | 74.2% |
Gemini 2.0 Flash Exp vs Gemini 3 Flash: Overview
Gemini 2.0 Flash, released by Google DeepMind on February 5, 2025, is the efficiency-focused successor to Gemini 1.5 Flash. It is a multimodal model that accepts text, code, images, audio, and video as inputs, though its stable GA release outputs text only (image and audio generation remain in preview). The model supports up to 1 million tokens of input context with an output cap of ~8K tokens, making it well-suited for analyzing large documents, transcripts, or media files. Its knowledge is current through August 2024.
Flash 2.0 is optimized for speed, scalability, and agentic workflows, offering fast response times, tool use, structured outputs, and function calling. While more cost-efficient than Pro variants, its trade-offs include shorter output lengths and less depth on reasoning-intensive tasks. Available through the Gemini API, Vertex AI, AI Studio, and Gemini apps, Gemini 2.0 Flash is positioned for real-time applications, enterprise assistants, and production-scale multimodal processing where efficiency and throughput are priorities.
Gemini 3 Flash is a proprietary multimodal large language model developed by Google through Google DeepMind, designed to deliver fast, cost-efficient reasoning across real-time products and developer workflows. Released in December 2025, it is the Flash-tier variant of the Gemini 3 family, balancing low latency with reasoning quality approaching Pro models.
The model supports text, images, audio, and video, with an exceptionally large context window of roughly one million input tokens and outputs up to ~65k tokens. It emphasizes rapid responses for coding, summarization, analysis, and agentic tasks, and exposes configurable “thinking levels” via API to trade speed for deeper reasoning. Today, Gemini 3 Flash positions itself as a high-throughput, production-ready model, serving as the default in the Gemini app and Google Search’s AI Mode, optimized for scalable, interactive AI applications.