LLM Reference

Qwen2.5-3B-Instruct

Released
2024-06-07
Last refreshed
2026-04-15
Status
Researched 198d ago
Open sourceCommercial use: permittedCodingLong contextClassification

Qwen2.5-3B-Instruct is a released coding, long context, and classification model with open-source and 128k context; evaluate it while provider pricing coverage matures.

Use it for

  • Teams evaluating coding, long context, and classification
  • 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
Family
Qwen2.5
Released
2024-06-07
Context
128k
Parameters
3.09B
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing

No tracked provider token pricing is available yet.

About

Instruction-tuned 3B variant optimized for following directions in educational and automation tools with compact memory footprint.

Qwen2.5-3B-Instruct is an open-source model in the Qwen2.5 family. The structured metadata tracks a 128k-token context window. Headline tracked benchmarks include Google-Proof Q&A 38.7, HellaSwag 86.2, and HumanEval 55.2.

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

Coding

1 relevant benchmark in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

2 relevant benchmarks 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

Benchmark scores(4)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
Google-Proof Q&A38.7diamondObserved 2026-03-06Source
HellaSwag86.210-shotObserved 2026-03-06Source
HumanEval55.2pass@1Observed 2026-03-06Source
Massive Multitask Language Understanding75.25-shotObserved 2026-03-06Source

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

What is the context window of Qwen2.5-3B-Instruct?

Qwen2.5-3B-Instruct has a context window of 128k tokens.

When was Qwen2.5-3B-Instruct released?

Qwen2.5-3B-Instruct was released on 2024-06-07.

What benchmarks has Qwen2.5-3B-Instruct been tested on?

Qwen2.5-3B-Instruct has been evaluated on 4 benchmarks, including Google-Proof Q&A, HellaSwag, HumanEval, Massive Multitask Language Understanding.