LLM Reference

Qwen2.5-Coder-7B

Released
2024-09-19
Last refreshed
2026-05-19
Status
Researched 16d ago
CodingLong context

Qwen2.5-Coder-7B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating coding and long context
  • Workloads that can use a 128k 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
2024-09-19
Context
128k
Parameters
7.61B
Architecture
Decoder Only
Knowledge cutoff
2024-02
Specialization
code
Training
finetuned
Fine-tuning
base
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing

No tracked provider token pricing is available yet.

About

7B code specialist achieving SOTA performance in code reasoning and multi-language repair, beating 33B models on multiple metrics. 128K context for cross-file understanding.

Qwen2.5-Coder-7B is a model in the Qwen2.5-Coder family. The structured metadata tracks a 128k-token context window. No headline benchmark score is tracked for Qwen2.5-Coder-7B yet.

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

Coding

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

No model capability flags are currently sourced.

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.

Rankings & picks(7)