Claude 3.7 Sonnet vs Gemini 3 Flash
Gemini 3 Flash: 65.7% average across five Vision Evals tasks (#29 of 65 models). Claude 3.7 Sonnet is deprecated and was not run through Roboflow's Vision Evals, so there is no head-to-head score.
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Claude 3.7 Sonnet is deprecated and can no longer be run. Details and evals are still available on its model page.
Claude 3.7 Sonnet vs Gemini 3 Flash Comparison Table
Evals updated October 26, 2026Pricing updated November 3, 2026
| Property | Claude 3.7 Sonnet | Gemini 3 Flash |
|---|---|---|
| Organization | Anthropic | |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Feb 2024 | Dec 2025 |
| Context Window | 200K | 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 |
| Classification | Supported | Demo |
| Object Detection | Supported | Demo |
| OCR | Supported | Demo |
| Visual Question Answering | Supported | Demo |
| Model Features | ||
Both support 3 more features | ||
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% |
Claude 3.7 Sonnet vs Gemini 3 Flash: Overview
Claude 3.7 Sonnet, released by Anthropic in February 2025, is the company’s first hybrid reasoning model, combining fast response generation with an optional “extended thinking mode” that reveals longer, step-by-step reasoning. Like its predecessors, it is multimodal, handling both text and images, but expands its usability with up to 200,000 input tokens and up to 128,000 output tokens (64K generally available, 128K in beta). This makes it well-suited for analyzing large documents, codebases, or multi-turn conversations.
Typical applications include software development, research workflows, extended reasoning tasks, and enterprise-scale knowledge work where a trade-off between speed and visible reasoning is valuable.
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.