Qwen3 Coder Next

alibaba/qwen3-coder-next

A chat model with a 256K-token context window, at $0.525 per million input tokens and $1.26 per million output tokens.

Details

Maker: alibaba
Kind: Chat
Context window: 256,000 tokens
Max output: 256,000 tokens
Input: $0.525 per million tokens
Output: $1.26 per million tokens
Capabilities: Tool use
Takes: Text
Returns: Text
Zero data retention: Yes, on every provider
No training on requests: Yes, on every provider
Released: 2025-07-22
Newer model: alibaba/qwen3.8-omni-flashReleased later by the same maker, costs no more, and lists the same capabilities. Compare the two

Description

Qwen3-Coder-Next is an open-weight language model built specifically for coding, with strong performance on large-scale software engineering and agentic coding benchmarks. It uses a hybrid Mixture-of-Experts architecture to offer high capability at relatively modest active parameter counts, improving efficiency for real-world deployments. The model is trained on diverse code and natural language data so it can handle tasks like code generation, refactoring, debugging, repository-level reasoning, and technical explanation across multiple programming languages. It is also optimized for tool use and function calling, making it suitable as the core of coding agents that interact with shells, editors, issue trackers, and other developer tools.

Call it

curl

curl https://phantom.codes/v1/chat/completions \
  -H "Authorization: Bearer $PHANTOM_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "alibaba/qwen3-coder-next",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

Set PHANTOM_KEY to your key. Any OpenAI client works with the base URL https://phantom.codes/v1.

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