LLM ReferenceLLM Reference

Qwen3-105B

qwen3-105b

Researched 137d ago

Last refreshed 2026-04-18. Next refresh: weekly.

Open SourceRAGAgentsLong contextJSON / Tool use

Qwen3-105B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Decision context: RAG task fit, 0 tracked provider routes, and research from 2026-01-01.

Use it for

  • Teams evaluating rag, agents, 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
  • Teams that need a tracked hosted API route today

Cheapest output

-

No tracked output price

Provider routes

0

No provider route in seed

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-01-01

Researched 137d ago

stale

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Agents

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.

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

Next-generation Alibaba Qwen3 model with 105B parameters. Significant improvements in reasoning, math, and code generation.

Qwen3-105B has a 128K-token context window.

Capabilities

Function CallingTool Use

Rankings

Specifications

FamilyQwen3
Released2025-12-15
Parameters105B
Context128k
Knowledge cutoff2025-02
Fine-tuning1

Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website