How much does the Qwen3-235B-A22B API cost?

Qwen3-235B-A22B costs $0.22 per million input tokens and $0.88 per million output tokens. A workload of 10M input and 1.5M output tokens per month costs about $3.52.

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

Qwen3-235B-A22B supports a context window of 262,144 tokens (262K), with up to 33K output tokens per response.

Is Qwen3-235B-A22B open source?

Yes — Qwen3-235B-A22B is an open-weights model released under the Apache 2.0 license, so it can be downloaded and self-hosted.

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

The closest alternatives by overall capability are OpenAI o3, DeepSeek V3.2, Kimi K2 Thinking, GPT-5. See the comparison pages for detailed head-to-head breakdowns.

Qwen3-235B-A22B

Name: Qwen3-235B-A22B
Price: 0.22 USD
Author: Alibaba (Qwen)

Alibaba (Qwen)·Jul 2025reasoningopen weights · Apache 2.0

69.0

modhub Index

Qwen3-235B-A22B (2507 update) became one of the most widely deployed open models of 2025 — big enough to be genuinely capable, small enough (22B active) to serve economically. Its hybrid thinking mode and strong multilingual coverage made it the default "serious" open model before the DeepSeek V4 / GLM-5 wave. Hosted inference is available from a dozen providers at commodity prices.

Benchmark results

Where it shines

Battle-tested across the open-source ecosystem
Efficient 22B-active MoE serving economics
Strong 100+ language multilingual support

Alternatives to Qwen3-235B-A22B

OpenAI o3

OpenAI's dedicated 2025 reasoning model that pioneered thinking-with-images and agentic tool use within chain-of-thought.

DeepSeek V3.2

The sparse-attention release that halved DeepSeek's already-lowest-in-class prices while keeping GPT-class quality.

Kimi K2 Thinking

A trillion-parameter open reasoning agent that can chain 200–300 tool calls — the open-weights agentic standout of late 2025.

GPT-5

OpenAI's August 2025 unified flagship that merged the GPT and o-series reasoning lines into one model with selectable effort.

Frequently asked questions

How much does the Qwen3-235B-A22B API cost?: Qwen3-235B-A22B costs $0.22 per million input tokens and $0.88 per million output tokens. A workload of 10M input and 1.5M output tokens per month costs about $3.52.
What is the context window of Qwen3-235B-A22B?: Qwen3-235B-A22B supports a context window of 262,144 tokens (262K), with up to 33K output tokens per response.
Is Qwen3-235B-A22B open source?: Yes — Qwen3-235B-A22B is an open-weights model released under the Apache 2.0 license, so it can be downloaded and self-hosted.
What are the best alternatives to Qwen3-235B-A22B?: The closest alternatives by overall capability are OpenAI o3, DeepSeek V3.2, Kimi K2 Thinking, GPT-5. See the comparison pages for detailed head-to-head breakdowns.