LLM Reference

Qwen2.5-Coder-3B-Instruct

Released
2024-11-12
Last refreshed
2026-05-19
Status
Researched 16d ago
Coding

Qwen2.5-Coder-3B-Instruct is worth evaluating for coding when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding
  • Workloads that can use a 32k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2024-11-12
Context
32k
Parameters
3B
Architecture
Decoder Only
Knowledge cutoff
2024-02
Specialization
code
Training
finetuned
Fine-tuning
instruct
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$0.100
Input / 1M
$0.100

Cheapest of 1 route · Fireworks AI

About

Instruction-tuned 3B coder for refactoring, code review, and multi-language repair tasks with commercial licensing support.

Qwen2.5-Coder-3B-Instruct is a model in the Qwen2.5-Coder family. The structured metadata tracks a 32k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.1 input and $0.1 output per 1M tokens. No headline benchmark score is tracked for Qwen2.5-Coder-3B-Instruct yet.

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

Coding

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.100$0.100
Serverless

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(6)