LLM Reference

Qwen2.5-0.5B-Instruct

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

Qwen2.5-0.5B-Instruct is worth evaluating for coding, long context, and classification when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, long context, and classification
  • Workloads that can use a 128k 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
Family
Qwen2.5
Released
2024-06-07
Context
128k
Parameters
490M
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by
AlibabaAlibaba

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

Providers(1)
Fireworks AI
View 1 provider route

About

Instruction-tuned 0.5B variant of Qwen-2.5 for efficient on-device deployment. Balanced for speed and responsiveness on resource-constrained hardware.

Qwen2.5-0.5B-Instruct is an open-source model in the Qwen2.5 family. The structured metadata tracks a 128k-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. Headline tracked benchmarks include Google-Proof Q&A 28.9, HellaSwag 81.4, and HumanEval 35.6.

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

Coding

Q/$ A

1 relevant benchmark in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

Q/$ A

2 relevant benchmarks 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

Available via routers & gateways(1)

OpenRouter

Hybrid

Unified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.

PassthroughFireworks AI

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

HumanEvalRank 93 of 97
Claude Sonnet 4.6
98.0
o3
96.7
Claude Opus 4.6
95.0
Grok-3
94.5
Qwen2.5-0.5B-Instructcurrent
35.6

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&A28.9diamondObserved 2026-03-06—Source
HellaSwag81.410-shotObserved 2026-03-06—Source
HumanEval35.6pass@1Observed 2026-03-06—Source
Massive Multitask Language Understanding54.25-shotObserved 2026-03-06—Source

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

What is the context window of Qwen2.5-0.5B-Instruct?

Qwen2.5-0.5B-Instruct has a context window of 128k tokens.

How much does Qwen2.5-0.5B-Instruct cost?

Qwen2.5-0.5B-Instruct is available at $0.1/1M input tokens through Fireworks AI.

When was Qwen2.5-0.5B-Instruct released?

Qwen2.5-0.5B-Instruct was released on 2024-06-07.

Which providers offer Qwen2.5-0.5B-Instruct?

Qwen2.5-0.5B-Instruct is available from 1 provider: Fireworks AI.

What benchmarks has Qwen2.5-0.5B-Instruct been tested on?

Qwen2.5-0.5B-Instruct has been evaluated on 4 benchmarks, including Google-Proof Q&A, HellaSwag, HumanEval, Massive Multitask Language Understanding.