Qwen3.5-9B Claude Opus Reasoning API: Claude 4.6 Intelligence for Pennies
This article introduces a knowledge distillation technique that allows a 9-billion parameter model to reason like the more powerful Claude 4.6 Opus model. It also showcases how to access this capability via the NexaAPI platform at a fraction of the cost of official pricing.
Why it matters
This news is significant as it demonstrates techniques to distill the reasoning capabilities of large language models into more compact and cost-effective models, making advanced AI reasoning accessible to a wider range of developers and applications.
Key Points
- 1A 9-billion parameter model called Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled was trained to reason like the Claude 4.6 Opus model using chain-of-thought distillation
- 2NexaAPI provides OpenAI-compatible access to powerful reasoning models like Claude Sonnet 4 at 5x cheaper than official pricing
- 3The article provides Python code examples to access the reasoning capabilities of the Claude Sonnet 4 model via the NexaAPI platform
Details
The Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled model was fine-tuned from the larger Qwen3.5-9B model to learn the reasoning capabilities of the Claude 4.6 Opus model through a process called chain-of-thought distillation. This allows the 9-billion parameter model to structure its thinking in a step-by-step manner like the more powerful Claude 4.6 Opus. While the specific Qwen3.5 distilled model is not yet available on the NexaAPI platform, the article notes that the Claude Sonnet 4 model provides equivalent or better reasoning capabilities at a fraction of the cost of official pricing. The article provides Python code examples to access the reasoning features of the Claude Sonnet 4 model via the NexaAPI platform.
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