LLM Reference

Qwen3.5-122B-A10B

Researched 19d ago

Last refreshed 2026-05-22. Next refresh: weekly.

Open SourceMultimodalRAGAgentsLong contextVisionJSON / Tool use

Qwen3.5-122B-A10B is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Decision context: RAG task fit, 3 tracked provider routes, and research from 2026-05-14.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 262k context window
  • Buyers comparing 3 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence

Cheapest output

$2.08

Alibaba Cloud PAI-EAS per 1M tokens

Provider routes

3

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-14

Researched 19d ago

fresh

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

Compare all 3
ProviderInput / 1MOutput / 1MRoute
Alibaba Cloud PAI-EAS$0.260$2.08
Serverless
OpenRouter$0.260$2.08
Serverless
Novita AI$0.400$3.20
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

Open-weight MoE Qwen3.5 model with 122B total and 10B active parameters. Apache 2.0.

Qwen3.5-122B-A10B is an open-source model in the Qwen3.5 family. The structured metadata tracks a 262k-token context window, multimodal input, reasoning, function calling, tool use, and structured outputs. This page tracks provider routes through OpenRouter, Alibaba Cloud PAI-EAS, and Novita AI, with the cheapest tracked route listed at $0.26 input and $2.08 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 85.7.

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured Outputs

Benchmark Scores(1)

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.
BenchmarkScoreVersionSource
Google-Proof Q&A85.7diamondhttps://pricepertoken.com/leaderboards/benchmark/gpqa

Rankings

Show all 18 popular comparisonssorted by 7-day search impressions

Specifications

FamilyQwen3.5
Released2026-02-24
Parameters122B
Context262k
ArchitectureMixture of Experts
LicenseApache 2.0

Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website