Specifications
Context Window
—
Input Price/1M
—
Output Price/1M
—
Parameters
—
Benchmarks
Qwen3 VL 4B Instruct results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 0.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 29.0 | 100.0 | Artificial Analysis official API |
| SciCode | 14.0 | 100.0 | — |
| AA Coding Index | 4.6 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 63.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 13.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 37.0 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 37.0 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 9.6 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 63.4 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 37.0 | 100.0 | Artificial Analysis official API |
| IFBench | 32.0 | 100.0 | — |
| HLE | 4.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 23.0 | 100.0 | — |
Information
- Release date
- October 14, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Qwen3 VL 4B Instruct
What is Qwen3 VL 4B Instruct?
Qwen3 VL 4B Instruct is an AI model developed by Alibaba, classified as a text 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 4B Instruct does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Alibaba's official website for up-to-date availability and pricing.
Benchmarks & Performance
Qwen3 VL 4B Instruct was evaluated on 14 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate 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 4B Instruct specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Qwen3 VL 4B Instruct 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 4B Instruct?
Qwen3 VL 4B Instruct is an AI model developed by Alibaba. It is a text model.
How much does Qwen3 VL 4B Instruct cost?
Qwen3 VL 4B Instruct does not have public per-token pricing available at this time. Check Alibaba's official website for up-to-date information.
How does Qwen3 VL 4B Instruct compare with other models?
In available benchmarks, Qwen3 VL 4B Instruct scored: Terminal-Bench Hard: 0/100, LiveCodeBench: 29/100, SciCode: 14/100. See the full table above for a detailed comparison.
Is Qwen3 VL 4B Instruct open source?
No, Qwen3 VL 4B Instruct 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 4B Instruct best for?
Qwen3 VL 4B Instruct excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →