Qwen3 VL 235B A22B (Reasoning)
Alibaba • llm
Grande modelo de linguagem (llm) desenvolvido pela Alibaba — Intelligence Index 28/100 no Artificial Analysis; US$ 0.840/1M tokens de entrada; 34 tokens/s de velocidade.
Specifications
Context Window
—
Input Price/1M
$0.84
Output Price/1M
$6.17
Parameters
—
Speed
36 tok/s
Latency (TTFT)
3.9s
Benchmarks
Qwen3 VL 235B A22B (Reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 11.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 65.0 | 100.0 | — |
| SciCode | 40.0 | 100.0 | — |
| AA Coding Index | 20.9 | 100.0 | — |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 84.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 59.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 88.3 | 100.0 | — |
| AIME 2025 | 88.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 27.6 | 100.0 | — |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 77.0 | 100.0 | — |
| IFBench | 56.0 | 100.0 | — |
| HLE | 10.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 54.0 | 100.0 | — |
Information
- Release date
- September 23, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Qwen3 VL 235B A22B (Reasoning)
What is Qwen3 VL 235B A22B (Reasoning)?
Qwen3 VL 235B A22B (Reasoning) is an AI model developed by Alibaba, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Alibaba's cloud API.
Pricing & Costs in 2026
Qwen3 VL 235B A22B (Reasoning) is usage-based, priced at $0.84/1M input tokens and $6.175/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Qwen3 VL 235B A22B (Reasoning) was evaluated on 13 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Qwen3 VL 235B A22B (Reasoning) is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Qwen3 VL 235B A22B (Reasoning) competes directly with similarly capable models. Alibaba competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Qwen3 VL 235B A22B (Reasoning)?
Qwen3 VL 235B A22B (Reasoning) is an AI model developed by Alibaba. It is a llm model.
How much does Qwen3 VL 235B A22B (Reasoning) cost?
Qwen3 VL 235B A22B (Reasoning) costs $0.84/1M input tokens and $6.175/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Qwen3 VL 235B A22B (Reasoning) compare with other models?
In available benchmarks, Qwen3 VL 235B A22B (Reasoning) scored: Terminal-Bench Hard: 11/100, LiveCodeBench: 65/100, SciCode: 40/100. See the full table above for a detailed comparison.
Is Qwen3 VL 235B A22B (Reasoning) open source?
No, Qwen3 VL 235B A22B (Reasoning) is a proprietary model from Alibaba. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Qwen3 VL 235B A22B (Reasoning) best for?
Qwen3 VL 235B A22B (Reasoning) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →