Qwen: Qwen3 30B A3B

Public pricingIntelligence 72/100Medium memory심층 추론도구 활용

Qwen: Qwen3 30B A3B은 추론, 계획, 자동화에 맞춘 텍스트 모델입니다. 안정적인 도구 사용과 에이전트 동작、깊은 추론과 계획, 41K tokens의 컨텍스트, 저비용 특성을 결합해 reasoning, planning, and multi-step automation에서 안정적인 작업을 돕습니다. 특히 품질, 속도, 비용가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.08/1M

Output

$0.28/1M

Cached

$0.03/1M

Batch

$0.05/1M

Calculate your Qwen3 30B A3B bill.

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What would Qwen3 30B A3B cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Qwen3 30B A3B at a glance.

Memory

40,960

tokens

Max reply

40,960

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen3

Released

Apr 2025

Training cutoff

Jan 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    81.4

  • mmlu_pro

    61.5

  • gpqa_diamond

    43.9

  • aime_2024

    80.4

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen3 30B A3B

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Qwen3 30B A3B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3 30B A3B costs roughly $17 per month. Input is $0.08 /1M tokens and output is $0.28 /1M tokens.
Qwen3 30B A3B has a 40,960-token context window (medium memory — a long report or a codebase file). That means you can fit about 7,680 words of input and history in a single call.
Beyond text generation, Qwen3 30B A3B supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 30B A3B was released in April 2025, with training data cut off around January 2025.
Models in a similar class include Qwen3 30B A3B Thinking 2507, Qwen3 32B, Qwen3.5-Flash. The "Similar models" section below this FAQ links into each.

Still unsure?

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