Claude Haiku 4.5 vs Gemini 3.5 Flash
Gemini 3.5 Flash: 81.8% average across five Vision Evals tasks (#5 of 65 models). We have not run Claude Haiku 4.5 through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.
Compare Claude Haiku 4.5 vs Gemini 3.5 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
Claude Haiku 4.5 vs Gemini 3.5 Flash Comparison Table
Evals updated October 26, 2026Pricing updated November 5, 2026
| Property | Claude Haiku 4.5 | Gemini 3.5 Flash |
|---|---|---|
| Organization | Anthropic | |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Oct 2025 | May 2026 |
| 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 | $1.00 | $1.50 |
| Output $/1M | $5.00 | $9.00 |
| Vision Tasks | ||
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | Not evaluated | 81.8% |
| Avg cost / sample | – | $0.012 |
| Avg speed / sample | – | 11.52s |
| By task | ||
| Object Detection (low) | – | 70.6% ±2.0, Mean of 3 runs, range 68.7 to 72.6 |
| Object Detection (high) | – | 69.8% ±1.8, Mean of 3 runs, range 67.5 to 71.1 |
| Counting (low) | – | 80.6% ±0.7, Mean of 3 runs, range 79.7 to 81.1 |
| Counting (high) | – | 82.4% ±0.0, Mean of 3 runs, range 82.4 to 82.4 |
| Identification (low) | – | 99.0% ±1.6, Mean of 3 runs, range 96.9 to 100.0 |
| Identification (high) | – | 97.9% ±1.6, Mean of 3 runs, range 96.9 to 100.0 |
| OCR (low) | – | 76.7% |
| by category |
| |
| OCR (high) | – | 75.5% |
| by category |
| |
| Reasoning (low) | – | 82.1% ±2.0, Mean of 3 runs, range 80.1 to 84.1 |
| Reasoning (high) | – | 81.0% ±1.7, Mean of 3 runs, range 79.5 to 82.8 |
Claude Haiku 4.5 vs Gemini 3.5 Flash: Overview
Claude Haiku 4.5 is Anthropic’s lightweight model in the Claude 4.5 series, released in October 2025 under a proprietary license. Designed for speed and cost efficiency, it delivers near-frontier performance while maintaining Anthropic’s AI Safety Level 2 standard. Haiku 4.5 supports both text and multimodal (text and image) inputs, integrates tool use and extended reasoning, and features a 200,000 token context window, making it adept at handling long or complex workflows. Haiku 4.5 is ideal for developers and researchers seeking rapid, cost-effective model calls for analysis, coding, or multimodal understanding.
Gemini 3.5 Flash is a multimodal language model developed by Google DeepMind and released at Google I/O 2026. It is built on the Gemini 3 Flash reasoning foundation and introduces configurable thinking levels (minimal, low, medium, and high) that allow developers to tune the depth of internal reasoning before a response is generated. The model accepts text, image, video, audio, and PDF inputs and produces text output, with a 1 million token context window and up to 65,000 output tokens per request. It is natively multimodal, processing visual inputs alongside text to support tasks such as image captioning, classification, optical character recognition, object detection, and visual grounding, where the model references specific regions within an image or video frame.
Its vision capabilities extend to interpreting UI screenshots, diagrams, charts, and real-world scenes, as well as understanding video and live frame sequences for activity and scene recognition. The model supports combined tool use, including Google Search, URL context, code execution, and custom functions, within a single request, and it uses reasoning context from previous turns when thought signatures are present in the conversation history, enabling persistent multi-turn reasoning chains. Gemini 3.5 Flash carries a knowledge cutoff of January 2026 and is available via the Gemini API, Google AI Studio, Google Antigravity, and the Gemini Enterprise Agent Platform.