Qwen: Qwen3 30B A3B

Public pricingIntelligence 72/100Medium memory深度思考工具调用

Qwen: Qwen3 30B A3B 是一款文本模型，适合推理、规划和自动化。它结合了可靠的工具调用与智能体表现、深度推理与规划、41K tokens上下文和低成本定位，可在reasoning, planning, and multi-step automation中提供可靠表现。它适合重视质量、速度与成本的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.08/1M

Output

$0.28/1M

Cached

$0.03/1M

Batch

$0.05/1M

Calculate your Qwen3 30B A3B bill.

Set your workload — see cost at your exact volume.

What would Qwen3 30B A3B cost you?

Adjust the workload to see your monthly bill.

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.

  • aime_2024

    80.4

  • gpqa_diamond

    43.9

  • mmlu

    81.4

  • mmlu_pro

    61.5

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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