Benchmarks5mo ago
Qwen3.5 - GAIA
GAIA score 32.6 from TJ-0405
View sourceQwen
We are excited to introduce Qwen-Scope, an interpretability module trained on the Qwen3 and Qwen3.5 series models. Specifically, we integrated and trained Sparse Autoencoders (SAEs) within Qwen’s hidden layers.
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35.2
Quality Score
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Arena ELO
27B
Parameters
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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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Apr 2026
Released
2/5 signals
3/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
Benchmarks
3
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
GAIA score 32.6 from TJ-0405
View sourceGAIA score 44.2 from WA0824
View sourceGAIA score 44.2 from WA0824
SAE-Res-Qwen3.5-27B-W80K-L0_50 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.
View sourceSAE-Res-Qwen3.5-27B-W80K-L0_50 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.