Qwen3 VL 4B Thinking by Alibaba Cloud / Qwen Team scores 35.9 out of 100 on the Neura Intelligence Index, ranking #212 among tracked AI models. This composite score is computed from 6 individual benchmarks across coding, math, reasoning, and language categories.

Qwen3 VL 4B Thinking costs $0.1/1M input tokens and $1/1M output tokens via API. At a typical 3:1 input-to-output ratio with 1M tokens/day usage, the estimated monthly cost is approximately $10.

Yes, Qwen3 VL 4B Thinking has open weights available under the apache_2_0 license. You can download and self-host the model.

Qwen3 VL 4B Thinking supports a context window of 262K tokens, allowing it to process very long documents, codebases, and conversations in a single request.

Qwen3 VL 4B Thinking achieves its highest score on AIME 2025 with a score of 74.5%. This benchmark evaluates american invitational mathematics examination 2025 — competition-level math problems.