Интерфейс моделей ИИ

Qwen/Qwen3-VL-30B-A3B-Thinking

alibaba/qwen3-vl-30b-a3b-thinking

От Alibaba (Qwen) · семейство: qwen · выпуск 2025-10-11

$0.100
Вход / 1M токенов
$0.100
Выход / 1M токенов
262K
Окно контекста
262K
Макс. вывод

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

Возможности

✓ Tool calling✓ Рассуждение✓ Структурированный вывод✓ Вложения✗ Открытые веса✓ Управление температурой
Модальности: вход text, image · выход 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.

Coding84
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)8/20
  • Provider availability6/10
Agents96
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability6/10
JSON / structured output100
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume20/20
Cost efficiency79
  • Headline price (log-scaled)79/95
  • Has prompt-cache pricing0/5
Long context61
  • Context window (100K → 2M)51/90
  • Has published price for full window10/10
Vision87
  • Accepts image input50/50
  • Context window (10K → 1M)21/30
  • Has published price10/10
  • Provider availability6/10
Production-readiness84
  • Number of independent providers30/40
  • 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
$0.55
< $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
$1.10
< $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
$0.25
< $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
$0.90
< $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
$1.26
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Детализация цен

Рекомендованная цена от llmgateway · qwen3-vl-30b-a3b-thinking

$0.100
Вход
$0.100
Выход

Доступна у 6 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
SiliconFlow (China)
siliconflow-cn
Qwen/Qwen3-VL-30B-A3B-Thinking$0.290$1.00262K2025-10-11
NovitaAI
novita-ai
qwen/qwen3-vl-30b-a3b-thinking$0.200$1.00131K2025-10-11
Qiniu
qiniu-ai
qwen3-vl-30b-a3b-thinkingUnknownUnknown128K2026-02-09
Kilo Gateway
kilo
qwen/qwen3-vl-30b-a3b-thinking$0.130$1.56131K2025-10-11
SiliconFlow
siliconflow
Qwen/Qwen3-VL-30B-A3B-Thinking$0.290$1.00262K2025-10-11
LLM Gateway
llmgateway
qwen3-vl-30b-a3b-thinking$0.100$0.100131K2025-10-02

Расхождения данных между провайдерами

  • context_window varies: 128000, 131072, 262000
  • release_date varies (span 130d): 2025-10-02, 2025-10-11, 2026-02-09
  • modalities varies across offerings

Провайдеры сообщают разные значения для этой модели. Сводка выше использует репрезентативного провайдера; детали — в таблице.

Frequently asked questions

How much does Qwen/Qwen3-VL-30B-A3B-Thinking cost?

Qwen/Qwen3-VL-30B-A3B-Thinking costs $0.100 per 1M input tokens and $0.100 per 1M output tokens, sourced from llmgateway. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Qwen/Qwen3-VL-30B-A3B-Thinking?

Qwen/Qwen3-VL-30B-A3B-Thinking has a context window of 262K tokens, with a max output of 262K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen/Qwen3-VL-30B-A3B-Thinking support tool calling?

Yes. Qwen/Qwen3-VL-30B-A3B-Thinking 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 Qwen/Qwen3-VL-30B-A3B-Thinking support structured output / JSON mode?

Yes. Qwen/Qwen3-VL-30B-A3B-Thinking supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Qwen/Qwen3-VL-30B-A3B-Thinking accept image input?

Yes. Qwen/Qwen3-VL-30B-A3B-Thinking 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 Qwen/Qwen3-VL-30B-A3B-Thinking open-weight?

No. Qwen/Qwen3-VL-30B-A3B-Thinking 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 Qwen/Qwen3-VL-30B-A3B-Thinking?

If Qwen/Qwen3-VL-30B-A3B-Thinking 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.

Explore more

More Alibaba (Qwen) models

Capability lists this model is in

See also

Последнее обновление:

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.