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GPT-5.5 vs SAM 3

Compare GPT-5.5 and SAM 3 side-by-side. See how these vision models stack up in Object Detection.

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OpenAIGPT-5.5
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MetaSAM 3
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Models in this comparison

OpenAI
Meta

GPT-5.5 vs SAM 3 Comparison Table

Evals updated August 6, 2026Pricing updated August 7, 2026

PropertyGPT-5.5SAM 3
OrganizationOpenAIMeta
Categoryclosedopen
Modalitymultimodalmultimodal
Release DateApr 2026Nov 2025
Context Window1.0M
Parameters
LicenseProprietaryCustom
Pricing per 1M tokens
Input $/1M$5.00
Output $/1M$30.00
Vision Tasks
Object DetectionDemoDemo
CaptioningDemo
Chart Question Answering
ClassificationDemo
Document Question Answering
Image Tagging
Instance Segmentation
Multi-Label Classification
OCRDemo
Open Vocabulary Object Detection
Promptable Concept SegmentationDemo
Video Object Tracking
Vision Language
Visual Question AnsweringDemo
Zero Shot Segmentation
Model Features
Foundation Vision
Multimodal Vision
LLMs with Vision Capabilities
Zero-shot Detection
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort
Overall
73.9%
Not evaluated
Avg cost / sample$0.022
Avg speed / sample9.35s
By task
Object Detection
41.7%
$0.034
Counting
64.9%
$0.015
Identification
90.6%
$0.0085
OCR
91.2%
$0.023
Data Extraction
87.6%
$0.010
Reasoning (low)
67.5%
$0.014
Reasoning (high)
69.5%
$0.030

GPT-5.5 vs SAM 3: Overview

GPT-5.5

GPT-5.5 is a multimodal large language model released by OpenAI on April 23, 2026, engineered for autonomous, multi-step knowledge work and agentic workflows. It accepts text, images, and code as input, featuring enhanced spatial reasoning and visual grounding to support its computer use capabilities for operating software and navigating UI elements. Built to execute complex workflows end-to-end, the model interprets loosely defined tasks, selects appropriate tools, and performs self-verification with minimal user intervention. It is available in a standard version, a Thinking mode for extended reasoning budgets, and a Pro variant that uses parallel test-time compute for maximum precision on complex tasks.

Co-optimized with NVIDIA for GB200 NVL72 infrastructure, GPT-5.5 delivers per-token latency comparable to its predecessor GPT-5.4 while maintaining a 1-million-token context window. Despite increased capability, the model achieves greater token efficiency in coding and data analysis workflows, often completing tasks with fewer total tokens than previous versions. OpenAI reports a 60% reduction in hallucination rate compared to GPT-5.4, improving reliability for accuracy-sensitive applications. API access is available via the Responses and Chat Completions endpoints at $5 per million input tokens and $30 per million output tokens, double the unit price of GPT-5.4.

SAM 3

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.

GPT-5.5 is released under Proprietary, 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.