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Description
Qwen3-Coder is an advanced code model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version (with 35B active) that inherently accommodates 256K-token contexts, which can be extended to 1M, and demonstrates cutting-edge performance in Agentic Coding, Browser-Use, and Tool-Use activities, rivaling Claude Sonnet 4. With a pre-training phase utilizing 7.5 trillion tokens (70% of which are code) and synthetic data refined through Qwen2.5-Coder, it enhances both coding skills and general capabilities, while its post-training phase leverages extensive execution-driven reinforcement learning across 20,000 parallel environments to excel in multi-turn software engineering challenges like SWE-Bench Verified without the need for test-time scaling. Additionally, the open-source Qwen Code CLI, derived from Gemini Code, allows for the deployment of Qwen3-Coder in agentic workflows through tailored prompts and function calling protocols, facilitating smooth integration with platforms such as Node.js and OpenAI SDKs. This combination of robust features and flexible accessibility positions Qwen3-Coder as an essential tool for developers seeking to optimize their coding tasks and workflows.
Description
Synap provides a hosted inference API that enables developers to access an OpenAI-compatible endpoint for open-weight language models. By simply adjusting the API base URL, key, and model name, applications can seamlessly connect using familiar OpenAI SDKs and chat-completion requests. The platform's extensive catalog features models like Qwen3, Qwen3-VL, Qwen3 Coder, Gemma 4, and gpt-oss-20b, each with specific input and output token pricing. Additionally, Synap offers support for streaming and tool invocation while ensuring zero data retention for all requests. Developers can choose from a variety of payment options, including prepaid credits that never expire, monthly subscriptions, or pay-per-call payments in USDC via x402. This service is tailored for software developers, AI application creators, and teams looking to integrate model inference into their applications and workflows effectively. With its user-friendly interface and robust features, Synap aims to simplify the process of implementing AI-driven solutions in diverse projects.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
OpenAI
Yes
Claude Fable 5.5
Yes
Claude Haiku 5.5
Yes
Claude Mythos 5.1
Yes
Claude Opus 4.5
Yes
Claude Opus 4.7
Yes
Claude Opus 5
Yes
Claude Opus 5.5
Yes
Claude Sonnet 4
Yes
Claude Sonnet 4.5
Yes
Integrations
OpenAI
Yes
Claude Fable 5.5
No
Claude Haiku 5.5
No
Claude Mythos 5.1
No
Claude Opus 4.5
No
Claude Opus 4.7
No
Claude Opus 5
No
Claude Opus 5.5
No
Claude Sonnet 4
No
Claude Sonnet 4.5
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$0.0675/1M input tokens
Monthly plans start at $20/month. Prepaid credits start at $10 by card or $1 via TON or USDC and do not expire; monthly plan credits expire at the end of each month. The lowest catalog rate is $0.0675 per 1 million input tokens for qwen3-coder-30b, with output tokens at $0.27 per 1 million. USDC x402 pay-per-call is also available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Qwen
Founded
2023
Country
China
Website
github.com/QwenLM/qwen-code
Vendor Details
Company Name
Linkrra LLC
Founded
2026
Country
United States
Website
synap402.com
Product Features
Product Features
Alternatives
Alternatives
No Alternatives
