AI 모델 인텔리전스

Qwen3 VL 235B A22B Instruct

alibaba/qwen3-vl-235b-a22b-instruct

제공: Alibaba (Qwen) · 패밀리: qwen · 출시 2025-10-04 · 지식 컷오프: 2025-09

$0.200
입력 / 1M 토큰
$0.880
출력 / 1M 토큰
131K
컨텍스트 창
129K
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, image · 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.

Coding10
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability8/10
Agents23
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability8/10
JSON / structured output28
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume18/20
Cost efficiency67
  • Headline price (log-scaled)62/95
  • Has prompt-cache pricing5/5
Long context46
  • Context window (100K → 2M)36/90
  • Has published price for full window10/10
Vision85
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price10/10
  • Provider availability8/10
Production-readiness94
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • 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
$1.44
< $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
$2.88
< $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
$0.84
< $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
$2.48
< $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
$2.93
< $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: kilo · qwen/qwen3-vl-235b-a22b-instruct

$0.200
입력
$0.880
출력
$0.110
캐시 읽기

8곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
Vercel AI Gateway
vercel
alibaba/qwen3-vl-235b-a22b-instruct$0.400$1.60131K2025-09-24
SiliconFlow (China)
siliconflow-cn
Qwen/Qwen3-VL-235B-A22B-Instruct$0.300$1.50262K2025-10-04
NovitaAI
novita-ai
qwen/qwen3-vl-235b-a22b-instruct$0.300$1.50131K2025-09-24
Kilo Gateway
kilo
qwen/qwen3-vl-235b-a22b-instruct$0.200$0.880262K2025-09-23
Helicone
helicone
qwen3-vl-235b-a22b-instruct$0.300$1.50256K2025-09-23
SiliconFlow
siliconflow
Qwen/Qwen3-VL-235B-A22B-Instruct$0.300$1.50262K2025-10-04
LLM Gateway
llmgateway
qwen3-vl-235b-a22b-instruct$0.800$2.40131K2025-09-15
STACKIT
stackit
Qwen/Qwen3-VL-235B-A22B-Instruct-FP8$1.64$1.91218K2024-11-01

제공자 간 데이터 불일치

  • context_window varies: 131072, 218000, 256000, 262000, 262144
  • release_date varies (span 337d): 2024-11-01, 2025-09-15, 2025-09-23, 2025-09-24, 2025-10-04
  • modalities varies across offerings

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

Frequently asked questions

How much does Qwen3 VL 235B A22B Instruct cost?

Qwen3 VL 235B A22B Instruct costs $0.200 per 1M input tokens and $0.880 per 1M output tokens, sourced from kilo. 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 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct has a context window of 131K tokens, with a max output of 129K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen3 VL 235B A22B Instruct support tool calling?

No. Qwen3 VL 235B A22B Instruct does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

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

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

Can Qwen3 VL 235B A22B Instruct accept image input?

Yes. Qwen3 VL 235B A22B Instruct accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Alibaba (Qwen)'s docs for the exact rule.

Is Qwen3 VL 235B A22B Instruct open-weight?

No. Qwen3 VL 235B A22B Instruct is a proprietary model — only Alibaba (Qwen) (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Qwen3 VL 235B A22B Instruct?

If Qwen3 VL 235B A22B Instruct 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.