LLM Reference

Qwen3.5-Coder-7B

Released
2026-01-15
Last refreshed
2026-04-18
Status
Researched 156d ago
Open SourceCommercial use allowedCodingAgentsLong context

Qwen3.5-Coder-7B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating coding, agents, and long context
  • Workloads that can use a 256k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2026-01-15
Context
256k
Parameters
7B
Specialization
code
Openness
Open source
License
Apache 2.0(OSI)Commercial use allowed
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing

No tracked provider token pricing is available yet.

About

Code-focused variant of Qwen3.5 optimized for code generation, understanding, and software engineering tasks.

Qwen3.5-Coder-7B is an open-source model in the Qwen3.5-Coder family. The structured metadata tracks a 256k-token context window and code execution. No headline benchmark score is tracked for Qwen3.5-Coder-7B yet.

Top use-case fit: coding, agents, and build tasks

Coding

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

Code Execution

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.