Gemini 2.0 Flash Exp vs Gemini 3.7 Flash
Compare Gemini 2.0 Flash Exp and Gemini 3.7 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 3.7 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 3.7 Flash Comparison Table
Evals updated August 20, 2026Pricing updated August 23, 2026
| Property | Gemini 2.0 Flash Exp | Gemini 3.7 Flash |
|---|---|---|
| Organization | ||
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Feb 2025 | Aug 2026 |
| Context Window | 1.0M | 1.0M |
| Parameters | Undisclosed | |
| License | Proprietary | Proprietary |
| Pricing per 1M tokens | ||
| Input $/1M | $0.375 | |
| Output $/1M | $1.88 | |
| Vision Tasks | ||
| Captioning | Demo | |
| Chart Question Answering | ||
| Classification | Demo | |
| Document Question Answering | ||
| Image Tagging | ||
| Multi-Label Classification | ||
| Object Detection | Demo | |
| OCR | Demo | |
| Vision Language | ||
| Visual Question Answering | Demo | |
| Model Features | ||
| Foundation Vision | ||
| LLMs with Vision Capabilities | ||
| Multimodal Vision | ||
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort | ||
| Overall | Deprecated | 84.6% |
| Avg cost / sample | – | $0.0016 |
| Avg speed / sample | – | 9.97s |
| By task | ||
| Object Detection | – | 69.4% $0.0024 |
| Counting | – | 77.0% $0.0013 |
| Identification | – | 96.9% $0.0007 |
| OCR | – | 86.9% $0.0014 |
| Data Extraction | – | 94.8% $0.0007 |
| Reasoning (low) | – | 82.8% $0.0011 |
| Reasoning (high) | – | 82.1% $0.0026 |
Gemini 2.0 Flash Exp vs Gemini 3.7 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 3.7 Flash is a proprietary multimodal model from Google, positioned in the Flash branch of the Gemini 3 series that trades some of the capacity of the larger Pro models for lower latency and lower cost per token. It accepts interleaved text and image input alongside other modalities handled by the Gemini family and returns text, and it continues the series pattern of exposing a configurable thinking budget so that reasoning effort can be scaled up for harder problems or reduced for high throughput extraction, routing and classification work. The model is announced roughly three weeks after Gemini 3.6 Flash, part of an unusually fast iteration cadence within the Flash line.
Google reports gains concentrated in agentic coding and front end generation, citing a WebDev Arena Elo of 1588 for this release compared with 1538 for the preceding Flash model, and describes it as producing more functional layouts and more feature complete applications in fewer prompts. Weights are not published and the architecture, parameter count and training corpus are undisclosed, consistent with prior Gemini releases. Visual capability follows the Flash lineage, covering image and document understanding, chart and diagram interpretation, text recognition in images, and general visual question answering.