Qwen2.5-1MAlibaba
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SynapLinkrra LLC
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Related Products
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About
Qwen2.5-1M is an open-source language model developed by the Qwen team, designed to handle context lengths of up to one million tokens. This release includes two model variants, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, marking the first time Qwen models have been upgraded to support such extensive context lengths. To facilitate efficient deployment, the team has also open-sourced an inference framework based on vLLM, integrated with sparse attention methods, enabling processing of 1M-token inputs with a 3x to 7x speed improvement. Comprehensive technical details, including design insights and ablation experiments, are available in the accompanying technical report.
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About
Synap is a hosted inference API that gives developers an OpenAI-compatible endpoint for open-weight language models. Applications can connect through familiar OpenAI SDKs and chat-completion requests by changing the API base URL, key and model name. Its catalog includes models such as Qwen3, Qwen3-VL, Qwen3 Coder, Gemma 4 and gpt-oss-20b, with model-specific input and output token rates. Synap supports streaming and tool calling, and applies zero data retention to requests. Developers can use prepaid credits that do not expire, monthly plans, or pay-per-call USDC payments through x402. The service is designed for software developers, AI application builders and teams integrating model inference into applications and agent workflows.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI researchers, developers, and organizations seeking an open-source large language model with extended context capabilities for advanced natural language processing tasks
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Audience
Developers, startups and AI agent builders who need low-cost, OpenAI-compatible inference on open-weight models.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
$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 Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAlibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-1m/
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Company InformationLinkrra LLC
Founded: 2026
United States
synap402.com
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Alternatives |
AlternativesNo Alternatives
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Categories |
Categories |
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Integrations
C++
Supported
CSS
Supported
Cline
Not Supported
Clojure
Supported
Elixir
Supported
F#
Supported
Go
Supported
Hugging Face
Supported
Java
Supported
Julia
Supported
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Integrations
C++
Not Supported
CSS
Not Supported
Cline
Supported
Clojure
Not Supported
Elixir
Not Supported
F#
Not Supported
Go
Not Supported
Hugging Face
Not Supported
Java
Not Supported
Julia
Not Supported
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