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Average Ratings 0 Ratings
Description
Qwen3.5 represents a major advancement in open-weight multimodal AI models, engineered to function as a native vision-language agent system. Its flagship model, Qwen3.5-397B-A17B, leverages a hybrid architecture that fuses Gated DeltaNet linear attention with a high-sparsity mixture-of-experts framework, allowing only 17 billion parameters to activate during inference for improved speed and cost efficiency. Despite its sparse activation, the full 397-billion-parameter model achieves competitive performance across reasoning, coding, multilingual benchmarks, and complex agent evaluations. The hosted Qwen3.5-Plus version supports a one-million-token context window and includes built-in tool use for search, code interpretation, and adaptive reasoning. The model significantly expands multilingual coverage to 201 languages and dialects while improving encoding efficiency with a larger vocabulary. Native multimodal training enables strong performance in image understanding, video processing, document analysis, and spatial reasoning tasks. Its infrastructure includes FP8 precision pipelines and heterogeneous parallelism to boost throughput and reduce memory consumption. Reinforcement learning at scale enhances multi-step planning and general agent behavior across text and multimodal environments. Overall, Qwen3.5 positions itself as a high-efficiency foundation for autonomous digital agents capable of reasoning, searching, coding, and interacting with complex environments.
Description
Recursive Flint is an advanced language model featuring 40 billion parameters, designed as a mixture-of-experts specifically for coding tasks executed locally. It engages around 2.5 billion parameters for each token processed, enabling sophisticated reasoning, multi-turn tool utilization, and accommodating context windows as extensive as 512,000 tokens. Developers can leverage Flint within coding agents to analyze codebases, rectify bugs, develop new features, and create tests while executing inference directly on their own hardware. The model's weights are made available under the Apache 2.0 license, promoting accessibility. Flint is compatible with various platforms such as llama.cpp, Ollama, Unsloth, LM Studio, vLLM, and SGLang; additionally, Recursive offers rec, an inference engine that is specifically optimized for use with Apple Silicon M4 Pro and M5 Pro/Max chips. Comprehensive setup documentation and practical examples are provided to assist developers in executing the model on local machines. Flint serves as a valuable tool for developers and technical teams aiming to effectively run and customize a code-centric model tailored to their specific system requirements. This innovative approach empowers users to enhance their coding capabilities and streamline development processes more efficiently than ever before.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Ollama
Yes
APIFree
Yes
Alibaba Cloud Model Studio
Yes
BaseRT
Yes
Claw Code
Yes
LM Studio
No
Microsoft-Decision-1
Yes
OpenClaw
Yes
OpenRouter
No
Qwen
Yes
Integrations
Ollama
Yes
APIFree
No
Alibaba Cloud Model Studio
No
BaseRT
No
Claw Code
No
LM Studio
Yes
Microsoft-Decision-1
No
OpenClaw
No
OpenRouter
Yes
Qwen
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai
Vendor Details
Company Name
Recursive
Founded
2026
Country
United States
Website
recursive.com/updates/introducing-recursive-flint
Product Features
Product Features
Alternatives
Alternatives
No Alternatives