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What is Molmo 2?

Molmo 2 introduces a state-of-the-art collection of open vision-language models, offering fully accessible weights, training data, and code, which enhances the capabilities of the original Molmo series by extending grounded image comprehension to include video and various image inputs. This significant upgrade facilitates advanced video analysis tasks such as pointing, tracking, dense captioning, and question-answering, all exhibiting strong spatial and temporal reasoning across multiple frames. The suite is comprised of three unique models: an 8 billion-parameter version designed for thorough video grounding and QA tasks, a 4 billion-parameter model that emphasizes efficiency, and a 7 billion-parameter model powered by Olmo, featuring a completely open end-to-end architecture that integrates the core language model. Remarkably, these latest models outperform their predecessors on important benchmarks, establishing new benchmarks for open-model capabilities in image and video comprehension tasks. Additionally, they frequently compete with much larger proprietary systems while being trained on a significantly smaller dataset compared to similar closed models, illustrating their impressive efficiency and performance in the domain. This noteworthy accomplishment signifies a major step forward in making AI-driven visual understanding technologies more accessible and effective, paving the way for further innovations in the field. The advancements presented by Molmo 2 not only enhance user experience but also broaden the potential applications of AI in various industries.

What is GPT-5 mini?

GPT-5 mini is a faster, more affordable variant of OpenAI’s advanced GPT-5 language model, specifically tailored for well-defined and precise tasks that benefit from high reasoning ability. It accepts both text and image inputs (image input only), and generates high-quality text outputs, supported by a large 400,000-token context window and a maximum of 128,000 tokens in output, enabling complex multi-step reasoning and detailed responses. The model excels in providing rapid response times, making it ideal for use cases where speed and efficiency are critical, such as chatbots, customer service, or real-time analytics. GPT-5 mini’s pricing structure significantly reduces costs, with input tokens priced at $0.25 per million and output tokens at $2 per million, offering a more economical option compared to the flagship GPT-5. While it supports advanced features like streaming, function calling, structured output generation, and fine-tuning, it does not currently support audio input or image generation capabilities. GPT-5 mini integrates seamlessly with multiple API endpoints including chat completions, responses, embeddings, and batch processing, providing versatility for a wide array of applications. Rate limits are tier-based, scaling from 500 requests per minute up to 30,000 per minute for higher tiers, accommodating small to large scale deployments. The model also supports snapshots to lock in performance and behavior, ensuring consistency across applications. GPT-5 mini is ideal for developers and businesses seeking a cost-effective solution with high reasoning power and fast throughput. It balances cutting-edge AI capabilities with efficiency, making it a practical choice for applications demanding speed, precision, and scalability.

Media

Media

Integrations Supported

Ai2 OLMoE
Bluesky
Hugging Face
Threads

Integrations Supported

Amarsia
Buda
ChatGPT Enterprise
ChatGPT Plus
Cheaper Inference
Codex CLI
Editee
JavaScript
JetBrains Junie
Kotlin
Microsoft Teams
Node.js
PHP
Rust
Sup AI

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.25 per 1M tokens
Input: $0.25 per 1M tokens
Output: $2 per 1M tokens

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Ai2

Date Founded

2014

Company Location

United States

Company Website

allenai.org/blog/molmo2

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

platform.openai.com/docs/models/gpt-5-mini

Categories and Features

AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Small Language Models

Not specified

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