Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LTX Reviews & Ratings
    4.4 out of 5 stars 182 Ratings
    Company Website for LTX
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET
  • Gemini platform Reviews & Ratings
    4.3 out of 5 stars 1,178 Ratings
    Company Website for Gemini platform
  • Runpod Reviews & Ratings
    4.2 out of 5 stars 230 Ratings
    Company Website for Runpod
  • Fraud.net Reviews & Ratings
    4.7 out of 5 stars 57 Ratings
    Company Website for Fraud.net
  • IONOS Cloud GPU Servers Reviews & Ratings
    4.6 out of 5 stars 45,816 Ratings
    Company Website for IONOS Cloud GPU Servers
  • Compute with Hivenet Reviews & Ratings
    5.0 out of 5 stars 4 Ratings
    Company Website for Compute with Hivenet
  • Google Cloud Speech-to-Text Reviews & Ratings
    4.5 out of 5 stars 446 Ratings
    Company Website for Google Cloud Speech-to-Text
  • Dragonfly Reviews & Ratings
    4.9 out of 5 stars 16 Ratings
    Company Website for Dragonfly
  • Nexo Reviews & Ratings
    4.4 out of 5 stars 18,841 Ratings
    Company Website for Nexo

What is Recursive Flint?

Recursive Flint is a state-of-the-art language model boasting 40 billion parameters, crafted as a mixture-of-experts particularly for local coding tasks. It utilizes approximately 2.5 billion parameters for every token it processes, allowing for advanced reasoning, multi-turn tool usage, and support for context windows reaching up to 512,000 tokens. Developers have the opportunity to integrate Flint into coding agents, enabling them to inspect codebases, fix bugs, create new features, and formulate tests while running inference directly on their own systems. The model's weights are accessible under the Apache 2.0 license, fostering broader accessibility for users. Flint supports a range of platforms, including llama.cpp, Ollama, Unsloth, LM Studio, vLLM, and SGLang. In addition, Recursive provides rec, an inference engine finely tuned for optimal performance on Apple Silicon M4 Pro and M5 Pro/Max chips. To facilitate the implementation of the model on local machines, detailed setup documentation and practical examples are available for developers. This versatile tool not only aids developers and technical teams in running a code-focused model tailored to their individual system needs but also enhances their overall coding efficiency. As a result, users can significantly boost their development workflows and achieve their programming goals with greater ease and speed than ever before.

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.

Media

No images available

Media

Integrations Supported

LM Studio
Ollama
OpenRouter
Unsloth
vLLM

Integrations Supported

Ai2 OLMoE
Bluesky
Hugging Face
Olmo 2
Threads

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Mac
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Recursive

Date Founded

2026

Company Location

United States

Company Website

recursive.com/updates/introducing-recursive-flint

Company Facts

Organization Name

Ai2

Date Founded

2014

Company Location

United States

Company Website

allenai.org/blog/molmo2

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Models

Not specified

Popular Alternatives

Laguna XS 2.1 Reviews & Ratings

Laguna XS 2.1

Poolside

Popular Alternatives

Pixtral Large Reviews & Ratings

Pixtral Large

Mistral AI
Muse Spark Open Reviews & Ratings

Muse Spark Open

Meta
5.0 out of 5 stars
GLM-4.1V Reviews & Ratings

GLM-4.1V

Z.ai
Nemotron 3.5 Bolt Reviews & Ratings

Nemotron 3.5 Bolt

NVIDIA
5.0 out of 5 stars
Devstral 2 Reviews & Ratings

Devstral 2

Mistral AI
Phi-2 Reviews & Ratings

Phi-2

Microsoft