LLM Reference

Qwen3.5-Coder Models by Alibaba

AlibabaApache 2.0Open source
2 models2026Up to 256k ctx

Details

ResearcherAlibaba
LicenseApache 2.0(OSI)
Commercial useCommercial use allowed
Models2
Released2026
Max context256k

Capabilities

Code ExecutionAll models

About

Code-focused variant of Qwen3.5 optimized for programming tasks and software engineering workflows.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

2 in view

Use when the workload needs code, 256k context, and 7B parameters.

2026-01code256k context7B parameters

Use when the workload needs code, 256k context, and 32B parameters.

2026-01code256k context32B parameters

Release Timeline

1 release group
2026-01
2 current
Qwen3.5-Coder-32B
code256k context32B parameters
Current
Qwen3.5-Coder-7B
code256k context7B parameters
Current

Specifications(2 models)

Qwen3.5-Coder model specifications comparison
ModelReleasedContextParametersCode Exec
Qwen3.5-Coder-7B2026-01256k7BYes
Qwen3.5-Coder-32B2026-01256k32BYes

Frequently Asked Questions

What is Qwen3.5-Coder used for?
Qwen3.5-Coder is used for code, code execution, and coding. The family description and listed model capabilities point to those workloads as the best fit.
How does Qwen3.5-Coder compare to Tongyi DeepResearch?
Qwen3.5-Coder by Alibaba is strongest where you need code, while Tongyi DeepResearch by Alibaba is the closest related family to check for adjacent model selection. Qwen3.5-Coder has 2 listed variants and reaches up to 256k context, while Tongyi DeepResearch reaches up to 131k context, so compare the specs and pricing tables before choosing a production model.
Which Qwen3.5-Coder model should I use?
If price is the main constraint, use the pricing table first because Qwen3.5-Coder does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Qwen3.5-Coder-7B with 256k context.