Qwen
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
Running this yourself: likely needs a rented cloud gpu.
41.5
Quality Score
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Arena ELO
32B
Parameters
262K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Oct 2025
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Qwen3 VL 32B Instruct Benchmark Update
Quality: 17.2/100 | Price: $1.225/M tokens | Output: 70.6 tok/s | MMLU: 0.791% | HumanEval: 0.514%
View sourceQwen3 VL 32B Instruct Benchmark Update
Quality: 17.2/100 | Price: $1.225/M tokens | Output: 68.594 tok/s | MMLU: 0.791% | HumanEval: 0.514%
View sourceQwen3 VL 32B Instruct Benchmark Update
Quality: 17.2/100 | Price: $1.225/M tokens | Output: 54.689 tok/s | MMLU: 0.791% | HumanEval: 0.514%
View sourceQwen3 VL 32B Instruct Benchmark Update
Quality: 17.2/100 | Price: $1.225/M tokens | Output: 54.933 tok/s | MMLU: 0.791% | HumanEval: 0.514%
View sourceQwen3 VL 32B Instruct Benchmark Update
Quality: 17.2/100 | Price: $1.225/M tokens | Output: 55.23 tok/s | MMLU: 0.791% | HumanEval: 0.514%
View sourceQwen3 VL 32B Instruct Benchmark Update
Quality: 17.2/100 | Price: $1.225/M tokens | Output: 54.882 tok/s | MMLU: 0.791% | HumanEval: 0.514%
View source