AI 모델 인텔리전스

Qwen3 235B-A22B

alibaba/qwen3-235b-a22b

제공: Alibaba (Qwen) · 패밀리: qwen · 출시 2025-04-29 · 지식 컷오프: 2025-04

$0.700
입력 / 1M 토큰
$2.80
출력 / 1M 토큰
131K
컨텍스트 창
16K
최대 출력

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

기능

도구 호출추론? 구조화 출력첨부오픈 웨이트온도 제어
모달리티: 입력 text · 출력 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding61
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)2/20
  • Provider availability9/10
Agents69
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit10/15
  • Provider availability9/10
JSON / structured output43
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume13/20
Cost efficiency49
  • Headline price (log-scaled)49/95
  • Has prompt-cache pricing0/5
Long context46
  • Context window (100K → 2M)36/90
  • Has published price for full window10/10
Production-readiness96
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$4.90
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$9.80
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$2.80
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$8.40
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$10.08
$0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

가격 상세

추천 가격 제공자: alibaba · qwen3-235b-a22b

$0.700
입력
$2.80
출력
$8.40
추론 토큰

가장 저렴한 제공자: jiekou · $0.200 입력 + $0.800 출력

9곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
Alibaba
alibaba
qwen3-235b-a22b$0.700$2.80131K2025-04
Alibaba (China)
alibaba-cn
qwen3-235b-a22b$0.287$1.15131K2025-04
302.AI
302ai
qwen3-235b-a22b$0.290$2.86128K2025-04-29
Jiekou.AI
jiekou
qwen/qwen3-235b-a22b-fp8$0.200$0.80041K2026-01
NovitaAI
novita-ai
qwen/qwen3-235b-a22b-fp8$0.200$0.80041K2025-04-29
Qiniu
qiniu-ai
qwen3-235b-a22bUnknownUnknown128K2025-08-05
Kilo Gateway
kilo
qwen/qwen3-235b-a22b$0.455$1.82131K2024-12-01
SiliconFlow
siliconflow
Qwen/Qwen3-235B-A22B$0.350$1.42131K2025-04-30
LLM Gateway
llmgateway
qwen3-235b-a22b-fp8$0.500$2.50131K2025-04-28

제공자 간 데이터 불일치

  • context_window varies: 128000, 131000, 131072, 40960
  • release_date varies (span 396d): 2024-12-01, 2025-04, 2025-04-28, 2025-04-29, 2025-04-30, 2025-08-05, 2026-01

제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.

Frequently asked questions

How much does Qwen3 235B-A22B cost?

Qwen3 235B-A22B costs $0.700 per 1M input tokens and $2.80 per 1M output tokens, sourced from alibaba. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Qwen3 235B-A22B?

Qwen3 235B-A22B has a context window of 131K tokens, with a max output of 16K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen3 235B-A22B support tool calling?

Yes. Qwen3 235B-A22B supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Qwen3 235B-A22B support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3 235B-A22B in our data source. Verify with Alibaba (Qwen)'s official documentation before relying on it in production.

Can Qwen3 235B-A22B accept image input?

No. Qwen3 235B-A22B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Qwen3 235B-A22B open-weight?

Yes. Qwen3 235B-A22B's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Qwen3 235B-A22B?

If Qwen3 235B-A22B doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3 235B A22B Instruct 2507. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More Alibaba (Qwen) models

Capability lists this model is in

마지막 업데이트:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.