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Qwen3-9B

qwen3-9b

Researched 4d ago

Last refreshed 2026-05-14. Next refresh: weekly.

RAGLong contextClassificationJSON / Tool use

Qwen3-9B is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.

Decision context: RAG task fit, 1 tracked provider route, and research from 2026-05-14.

Use it for

  • Teams evaluating rag, long context, and classification
  • Workloads that can use a 256K context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$0.200

DeepInfra per 1M tokens

Provider routes

1

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-14

Researched 4d ago

fresh

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
DeepInfra$0.040$0.200
Serverless

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

Qwen: Qwen3.5-9B available via OpenRouter. Pricing: $0.05/1M input, $0.15/1M output.

Qwen3-9B has a 256K-token context window.

Qwen3-9B input tokens at $0.04/1M, output at $0.2/1M.

Capabilities

Structured Outputs

Rankings

Specifications

FamilyQwen3
Released2025-04-28
Parameters9B
Context256K
ArchitectureDecoder Only
Specializationgeneral

Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website

Providers(1)