What is Qwen3-235B-A22B Instruct (2507) good for?

Long-context instruction following without a reasoning trace. Apache 2.0 weights, on a multi-GPU node.

When is Qwen3-235B-A22B Instruct (2507) not a good fit?

Tasks that need a thinking mode: this release is non-thinking only, and the Thinking (2507) sibling covers that. Self-hosting takes a multi-GPU node.

What is the cheapest way to run Qwen3-235B-A22B Instruct (2507)?

Hosted, unless you push serious volume. Alibaba Cloud charges $0.23 in / $0.92 out per 1M tokens. The cheapest rental that fits is 8x RTX 3090 at $979 a month, which costs the same as about 3B tokens a month on that API.

Can I self-host Qwen3-235B-A22B Instruct (2507)?

Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 137 GB of GPU memory, which starts at roughly $979 a month on the cheapest rental that fits.

Open weights · Apache 2.0

Qwen3-235B-A22B Instruct (2507)

July 2025 update of Qwen3-235B-A22B in instruction mode, a 235B MoE with 22B active, improving math, coding and long-context understanding over the April release.

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List price via Alibaba Cloud

Input: $0.23 / 1M tokens
Output: $0.92 / 1M tokens

Cheapest: $0.09 / $0.58 per 1M tokens via Novita

5 providers

Key Specifications

Context window: 262K tokens
Max output: 66K tokens
Parameters: 235B, 22B active
Inputs: Text

Capabilities Show details: Function calling Connect to external tools, APIs, and systems. Structured output Return responses in structured formats like JSON.

Hosted API pricing

Input tokens M Output tokens M

Provider	Input / 1M tokens	Output / 1M tokens	Cost at 10M in + 2M out
Novita Cheapest	$0.09	$0.58	$2.06	View
Lyceum	$0.20	$0.60	$3.20	View
Together AI	$0.20	$0.60	$3.20	View
Alibaba Cloud Creator	$0.23	$0.92	$4.14	View
Replicate	$0.26	$1.06	$4.72	View

Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.

Estimated cost to self-host

Qwen3-235B-A22B Instruct (2507) needs about 137 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX 3090 at about $979 a month.

That costs the same as roughly 3B tokens a month on Alibaba Cloud's API. Self-hosting is more expensive below that volume.

Single node ≤ 8

Precision	Memory	Cheapest fit (32K context)(Full 262K context)	Cost / mo	Break-even vs API
4-bitINT4 / FP4	137 GB157 GB	8× RTX 3090	$979$2,419	3B tokens / mo7B tokens / mo
8-bitFP8 / INT8	243 GB288 GB	8× RTX A6000	$3,168$3,168	9B tokens / mo9B tokens / mo
16-bitFP16 / BF16	478 GB523 GB	8× A100	$10,138$10,138	29B tokens / mo29B tokens / mo

Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.

Similarly priced models

The models nearest Qwen3-235B-A22B Instruct (2507) by blended rate, each at its own cheapest provider.

Model	Blended / 1M	Input / 1M	Output / 1M	Context	Cutoff	vs Qwen3-235B-A22B Instruct (2507)
Ministral 3 8B Mistral	$0.15	$0.15	$0.15	256K		−13%
Qwen3.5-Flash Alibaba Cloud	$0.15	$0.10	$0.40	1M		−13%
Llama 3.2 11B Vision Meta	$0.155	$0.05	$0.68	128K	Dec 2023	−10%
Nemotron 3 Super 120B A12B Nvidia	$0.1583	$0.09	$0.50	1M	Jun 2025	−8%
Gemma 4 31B Google Cloud	$0.17	$0.13	$0.37	256K	Jan 2025	−1%
Qwen3-235B-A22B Instruct (2507) This model Alibaba Cloud	$0.1717	$0.09	$0.58	262K
Llama 3.3 70B Meta	$0.175	$0.13	$0.40	128K	Dec 2023	+2%
Qwen3.5-27B Alibaba Cloud	$0.19	$0.09	$0.69	262K		+11%
Hy3 Tencent	$0.1967	$0.13	$0.53	262K		+15%
Ministral 3 14B Mistral	$0.20	$0.20	$0.20	256K		+17%
Qwen3.8-Flash Alibaba Cloud	$0.2033	$0.15	$0.47	1M		+18%

Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.

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Frequently Asked Questions

What is Qwen3-235B-A22B Instruct (2507) good for?: Long-context instruction following without a reasoning trace. Apache 2.0 weights, on a multi-GPU node.
When is Qwen3-235B-A22B Instruct (2507) not a good fit?: Tasks that need a thinking mode: this release is non-thinking only, and the Thinking (2507) sibling covers that. Self-hosting takes a multi-GPU node.
What is the cheapest way to run Qwen3-235B-A22B Instruct (2507)?: Hosted, unless you push serious volume. Alibaba Cloud charges $0.23 in / $0.92 out per 1M tokens. The cheapest rental that fits is 8x RTX 3090 at $979 a month, which costs the same as about 3B tokens a month on that API.
Can I self-host Qwen3-235B-A22B Instruct (2507)?: Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 137 GB of GPU memory, which starts at roughly $979 a month on the cheapest rental that fits.

More from Alibaba Cloud

Model	Context	Input / 1M	Output / 1M
Qwen3.5-27B Open weights	262K	$0.09	$0.69
Qwen3.5-Flash	1M	$0.10	$0.40
Qwen3.8-Flash	1M	$0.15	$0.47
Qwen3-VL-8B Open weights	262K	$0.15	$0.50
Qwen-MT-Turbo	16K	$0.16	$0.49
Qwen3-32B FP8 Open weights	33K	$0.10	$0.30
Qwen3.8-27B Open weights	262K	$0.17	$0.50
Qwen3.6-35B-A3B Open weights	262K	$0.07	$0.42