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Qwen3-235B-A22B

qwen3-235b-a22b

Researched 29d ago

Last refreshed 2026-05-11. Next refresh: weekly.

CodingRAGLong contextClassificationJSON / Tool use

Qwen3-235B-A22B is worth evaluating for coding, rag, and long context when its provider route and context window match the workload.

Decision context: Coding task fit, 4 tracked provider routes, and research from 2026-04-19.

Use it for

  • Teams evaluating coding, rag, and long context
  • Workloads that can use a 128K context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$1.20

AWS Bedrock per 1M tokens

Provider routes

4

Tracked API hosts

Quality / dollar

Grade C

Ranked by benchmark score divided by cheapest output price

Freshness

2026-04-19

Researched 29d ago

fresh

Top use-case fit

Coding

Q/$ C

3 relevant benchmarks in the decision map.

RAG

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

ProviderInput / 1MOutput / 1MRoute
AWS Bedrock$0.400$1.20
Serverless
Fireworks AI$1.20$1.20
Serverless
OpenRouter$0.455$1.82
Serverless
Venice AI--
ServerlessPartial

Benchmark peer barsfor Coding

Migration checks

No linked migration route is available for this model yet.

About

Qwen Qwen3 235B A22B 2507 available on AWS Bedrock

Qwen3-235B-A22B has a 128K-token context window.

Qwen3-235B-A22B input tokens at $0.4/1M, output at $1.2/1M.

Capabilities

Structured Outputs

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.
BenchmarkScoreVersionSource
HumanEval92.72025-04Qwen Team
LiveCodeBench80.42026-04https://livecodebench.github.io/performances_generation.json
Aider Polyglot59.62026-04https://aider.chat/docs/leaderboards
Google-Proof Q&A86.1diamondhttps://pricepertoken.com/leaderboards/benchmark/gpqa

Rankings

Specifications

FamilyQwen3
Released2025-01-01
Parameters235B
Context128K
ArchitectureDecoder Only
Specializationgeneral
Trainingpretrained

Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website