Benchmarks1y ago
Qwen3 - GAIA
GAIA score 44.2 from WA0824
View sourcecyankiwi
Qwen3-VL-32B-Thinking-AWQ-4bit is a open-weight cyankiwi multimodal model with a 262,144 token context window.
Running this yourself: likely needs a rented cloud gpu.
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Quality Score
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Arena ELO
32B
Parameters
262K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
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518
Downloads
6
Likes
Oct 2025
Released
3/5 signals
2/4 signals
4/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
1
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
GAIA score 44.2 from WA0824
View sourceQwen3-VL-32B-Thinking-AWQ-4bit is now available through local Ollama runtime. 40K context window listed. Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
Qwen3-VL-32B-Thinking-AWQ-4bit is now available through local Ollama runtime. 40K context window listed. Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.