Gemma 4 26B A4B vs SAM 3
Compare Gemma 4 26B A4B and SAM 3 side-by-side. See how these vision models stack up in Object Detection.
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Gemma 4 26B A4B vs SAM 3 Comparison Table
Evals updated September 22, 2026Pricing updated September 23, 2026
| Property | Gemma 4 26B A4B | SAM 3 |
|---|---|---|
| Organization | Meta | |
| Category | open | open |
| Modality | multimodal | multimodal |
| Release Date | Apr 2026 | Nov 2025 |
| Context Window | 256K | — |
| Parameters | 25.2B | |
| License | Apache 2.0 | Custom |
| Pricing per 1M tokens | ||
| Input $/1M | $0.090 | |
| Output $/1M | $0.300 | |
| Vision Tasks | ||
| Object Detection | Demo | Demo |
| Captioning | Demo | |
| Chart Question Answering | ||
| Classification | Demo | |
| Document Question Answering | ||
| Image Tagging | ||
| Instance Segmentation | ||
| Multi-Label Classification | ||
| OCR | Demo | |
| Open Vocabulary Object Detection | ||
| Promptable Concept Segmentation | Demo | |
| Video Object Tracking | ||
| Vision Language | ||
| Visual Question Answering | Demo | |
| Zero Shot Segmentation | ||
| Model Features | ||
| Foundation Vision | ||
| Multimodal Vision | ||
| LLMs with Vision Capabilities | ||
| Zero-shot Detection | ||
Vision Evalsground-truth scores across 6 vision tasks | ||
| Overall | 63.6% | Not evaluated |
| Quantizationsself-hosted | ||
| Avg cost / sample | $0.0019 | – |
| Avg speed / sample | 27.84s | – |
| By task | ||
| Object Detection | 44.2% ±0.7, Mean of 3 runs, range 43.5 to 44.8 | – |
| Counting | 43.2% ±2.0, Mean of 3 runs, range 41.9 to 46.0 | – |
| Identification | 81.3% ±3.1, Mean of 3 runs, range 78.1 to 84.4 | – |
| OCR | 88.7% ±1.3, Mean of 3 runs, range 87.6 to 90.2 | – |
| Data Extraction | 76.6% ±0.5, Mean of 3 runs, range 76.3 to 77.3 | – |
| Reasoning | 47.7% ±2.0, Mean of 3 runs, range 45.0 to 49.0 | – |
Gemma 4 26B A4B vs SAM 3: Overview
Gemma 4 26B A4B is the Mixture-of-Experts variant in Google's Gemma 4 family, with 25.2B total parameters but only 3.8B active per token. Built from the same Gemini 3 research as the 31B dense sibling and released as open weights under the Apache 2.0 license, it supports a 256K token context window with text and image input and configurable thinking mode. The "A4B" in the name refers to its approximately 4B active parameters. The MoE design makes it significantly faster at inference than the dense 31B, running nearly as fast as a 4B-parameter model while delivering roughly 97% of the dense model's quality.
For vision tasks, the 26B A4B shares the same multimodal capabilities as the 31B image understanding with variable aspect ratios and resolutions, and structured bounding box output for UI element detection. The tradeoff versus the 31B dense model is a small quality reduction in exchange for much faster inference and lower hardware requirements, fitting in 18GB of VRAM at 4-bit quantization. It ranked #6 among open models on the Arena AI text leaderboard at launch.
Released on November 19th, 2025, Segment Anything 3 (SAM 3) is a zero-shot image segmentation model that “detects, segments, and tracks objects in images and videos based on concept prompts.” This model was developed by Meta as the third model in the Segment Anything series.
Unlike its previous SAM models (Segment Anything and Segment Anything 2), you can provide SAM 3 with the prompt “shipping container” and it will generate precise segmentation masks for all shipping containers in an image. SAM 3 generates segmentation masks that correspond to the location of the objects found with a text prompt.
Frequently Asked Questions
SAM 3 has not yet been evaluated on Roboflow's current Vision Evals, so this comparison shows specs, licensing, and pricing rather than benchmark scores.
Gemma 4 26B A4B is released under Apache 2.0, while SAM 3 uses Custom. Licensing often matters more than raw accuracy for commercial deployments, so check the terms against how you plan to ship.
Yes. The comparison demo on this page runs both models on the same image side by side for object detection in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.
