[Alibaba Cloud](/ai-gateway/models/labs/alibaba)

# Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking is the reasoning-specialized edition of Alibaba Cloud's Qwen3-VL vision-language model, combining a multimodal context of 131.1K tokens with extended chain-of-thought traces for STEM reasoning, mathematical problem solving, and compositional visual analysis. Your use is subject to Alibaba Cloud's [Terms](https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-product-terms-of-service-v-3-8-0) & [Privacy](https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-privacy-policy) Policies.

Vision (Image)ReasoningTool UseFile Input

[Use with AI Gateway](https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%3Futm_source%3Dgateway-model-page%26utm_campaign%3Dai-gateway-models&title=Get+Started+with+Vercel+AI+Gateway) [View docs](https://vercel.com/docs/ai-gateway)

AI SDKChat CompletionsMessagesResponses

```
1import { streamText } from 'ai'
2

3const result = streamText({
4  model: 'alibaba/qwen3-vl-thinking',
5  prompt: 'Why is the sky blue?'
6})
```

[Read docs](https://vercel.com/docs/ai-gateway/sdks-and-apis/ai-sdk)

[Overview](/ai-gateway/models/qwen3-vl-thinking) [API](/ai-gateway/models/qwen3-vl-thinking/api) [About](/ai-gateway/models/qwen3-vl-thinking/about) [Providers](/ai-gateway/models/qwen3-vl-thinking/providers) [Throughput](/ai-gateway/models/qwen3-vl-thinking/throughput) [Latency](/ai-gateway/models/qwen3-vl-thinking/latency) [Uptime](/ai-gateway/models/qwen3-vl-thinking/uptime) [Status](/ai-gateway/models/qwen3-vl-thinking/status) [Similar](/ai-gateway/models/qwen3-vl-thinking/similar) [FAQ](/ai-gateway/models/qwen3-vl-thinking/faq)

## [Copy link to heading](#playground)Playground

Try out Qwen3 VL 235B A22B Thinking by Alibaba Cloud. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%2520cloud.png&w=48&q=75)Qwen3 VL 235B A22B Thinking

![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%2520cloud.png&w=96&q=75)

Qwen3 VL 235B A22B Thinking

## [Copy link to heading](#providers)Providers

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the [docs](/docs/ai-gateway/provider-options) for more info. Using a provider means you agree to their terms, listed under Legal.

| Provider |
| --- |

| Context | Max Output | Latency | Throughput | Input | Output | Cache | Web Search | Capabilities | ZDR | No Training | Release Date |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |

| ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%2520cloud.png&w=48&q=75) [Alibaba Cloud](/ai-gateway/models/providers/alibaba) Legal:[Terms](https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-product-terms-of-service-v-3-8-0)•[Privacy](https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-privacy-policy) | 131K | 33K | 0.5s | 126tps | $0.40/M | $4/M |  | — | +1 |  |  | 09/23/2025 |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| ![novita logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fnovita.png&w=48&q=75) [Novita AI](/ai-gateway/models/providers/novita) Legal:[Terms](https://novita.ai/legal/terms-of-service)•[Privacy](https://novita.ai/legal/privacy-policy) | 131K | 33K | 0.9s | 112tps | $0.98/M | $3.95/M |  | — |  |  |  | 09/23/2025 |  |

## [Copy link to heading](#throughput)Throughput24 hours

1W

1D

P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the [docs](https://vercel.com/docs/ai-gateway/models-and-providers/metrics) for more info.

## [Copy link to heading](#latency)Latency24 hours

1W

1D

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the [docs](https://vercel.com/docs/ai-gateway/models-and-providers/metrics) for more info.

## [Copy link to heading](#uptime)Uptime24 hours

1W

1D

1H

Direct request success rate on AI Gateway and per-provider. Visit the [docs](https://vercel.com/docs/ai-gateway/models-and-providers/uptime) for more info.

1W

1D

1H

## [Copy link to heading](#more-models-by-alibaba-cloud)More models by Alibaba Cloud

All

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Code

| Model |
| --- |

| Context | Latency | Throughput | Input | Output | Cache | Web Search | Capabilities | Providers | ZDR | No Training | Release Date |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |

| ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%20model%20logo.png&w=48&q=75) [alibaba/qwen3.8-27b](/ai-gateway/models/qwen3.8-27b) | 1M | 1.6s | 130tps | $0.10/M | $0.40/M | Read:$0.01/M Write:— | — | +1 | ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%2520cloud.png&w=48&q=75) ![deepinfra logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fdeepinfra.png&w=48&q=75) ![runinfra logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fruninfra.png%3Fv%3D1786910657446&w=48&q=75) |  |  | 08/14/2026 |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%20model%20logo.png&w=48&q=75) [alibaba/qwen3.8-2.4t-a95b](/ai-gateway/models/qwen3.8-2.4t-a95b) | 262K | 0.4s | 142tps | $1.65/M | $4.95/M | Read:$0.12/M Write:$2.5/M | — |  | ![deepinfra logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fdeepinfra.png&w=48&q=75) ![fireworks logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Ffireworks.png&w=48&q=75) ![gmicloud logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fgmicloud.png%3Fv%3D1785888489595&w=48&q=75) +3 |  |  | 08/03/2026 |  |
| ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%20model%20logo.png&w=48&q=75) [alibaba/qwen3.8-max](/ai-gateway/models/qwen3.8-max) | 1M | 4.8s | 165tps | $2/M | $6/M | Read:$0.25/M Write:$2.5/M | — | +1 | ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%2520cloud.png&w=48&q=75) ![fireworks logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Ffireworks.png&w=48&q=75) |  |  | 08/02/2026 |  |
| ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%20model%20logo.png&w=48&q=75) [alibaba/qwen3.7-flash](/ai-gateway/models/qwen3.7-flash) | 991K | 4.0s | 143tps | $0.03/M+2 more | $0.13/M+2 more | Read: $0.01/M+2 more Write: $0.04/M+2 more | — | +2 | ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%2520cloud.png&w=48&q=75) |  |  | 07/28/2026 |  |
| ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%20model%20logo.png&w=48&q=75) [alibaba/qwen3.7-plus](/ai-gateway/models/qwen3.7-plus) | 1M | 0.9s | 228tps | $0.40/M+1 more | $1.60/M+1 more | Read: $0.08/M+1 more Write: $0.5/M+1 more | — | +2 | ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%2520cloud.png&w=48&q=75) ![fireworks logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Ffireworks.png&w=48&q=75) |  |  | 06/02/2026 |  |
| ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%20model%20logo.png&w=48&q=75) [alibaba/qwen3.7-max](/ai-gateway/models/qwen3.7-max) | 991K | 0.9s | 168tps | $2.50/M | $7.50/M | Read:$0.5/M Write:$3.13/M | — |  | ![alibaba logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Falibaba%2520cloud.png&w=48&q=75) |  |  | 05/21/2026 |  |

## [Copy link to heading](#about-qwen3-vl-235b-a22b-thinking)About Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking is the reasoning-specialized counterpart to Qwen3-VL-Instruct. It shares the same foundational architecture, including DeepStack multi-level ViT fusion, enhanced interleaved MRoPE for spatial-temporal modeling, and text-based temporal alignment for video, but is tuned for long-horizon compositional reasoning. When Qwen3 VL 235B A22B Thinking encounters a question involving fine-grained visual detail, multi-step mathematical derivation, or causal inference across a sequence of images or video frames, it generates a visible chain-of-thought trace before committing to a final answer.

This reasoning orientation makes the Thinking variant particularly well-suited for STEM domains. Mathematical diagrams, physics problems presented with visual components, and scientific charts all benefit from a model that notices fine visual details (scale markings, axis labels, geometric relationships) and reasons about them systematically before producing a response. Qwen3 VL 235B A22B Thinking also applies compositional reasoning to multi-image inputs, for example, comparing experimental results across several scatter plots or identifying a trend across a sequence of microscopy images, where the answer can't be derived from any single visual element in isolation.

Like its Instruct counterpart, the Thinking variant operates over a context window of 131.1K tokens that accommodates interleaved text, images, and video. This combination of long multimodal context and extended reasoning depth enables applications such as detailed long-form video analysis where the model must both track temporal events and reason carefully about their relationships, or complex document-plus-figure analysis where diagrams and text must be jointly interpreted.

## [Copy link to heading](#what-to-consider-when-choosing-a-provider)What To Consider When Choosing a Provider

- Configuration: Thinking-mode multimodal responses can be long, confirm that your application's timeout configuration and streaming implementation handle extended generation sequences correctly before deploying to production.
- Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the [documentation](https://vercel.com/docs/ai-gateway/security-and-compliance/zdr) for details.
- Authentication: AI Gateway authenticates requests using an [API key](https://vercel.com/docs/ai-gateway/authentication-and-byok#api-key-authentication) or [OIDC token](https://vercel.com/docs/ai-gateway/authentication-and-byok#oidc-token-authentication). You do not need to manage provider credentials directly.

## [Copy link to heading](#when-to-use-qwen3-vl-235b-a22b-thinking)When to Use Qwen3 VL 235B A22B Thinking

### Best for

- Visual STEM problem solving: Physics diagrams, geometry figures, and chemistry structural formulas that combine visual input with mathematical or scientific reasoning
- Mathematical visual benchmarks: Tasks such as MathVista or MathVision where step-by-step derivation improves final accuracy
- Multi-image comparative analysis: Reasoning across several images simultaneously to reach a single conclusion
- Educational and tutoring applications: A visible reasoning chain helps learners understand how a visual problem is solved
- Scientific figure analysis: Research workflows that reason over data visualizations or microscopy images at expert-level detail

### Consider alternatives when

- Basic visual instruction following: Use Qwen3-VL-Instruct for faster, lower-cost responses when extended reasoning is unnecessary
- Tight token and latency budgets: Thinking traces significantly increase both token usage and response time
- Text-only workloads: A text-only reasoning model is more cost-efficient when there's no visual content
- Simple OCR or extraction: Document extraction and GUI automation tasks don't require reasoning traces

## [Copy link to heading](#conclusion)Conclusion

Qwen3 VL 235B A22B Thinking brings extended chain-of-thought reasoning to multimodal inputs, a combination that is specifically valuable for visual STEM problems and compositional analysis tasks where surface-level pattern matching is insufficient. For teams building applications that must explain their visual reasoning or solve structured problems embedded in images and video, it provides a distinct capability over direct-answer vision models.