Benchmarks1y ago
Qwen3 - GAIA
GAIA score 44.2 from WA0824
View sourceMia-AiLab
EXL3 quantization of Qwen/Qwen3.8-27B, the hybrid linear-attention / full-attention (gated-deltanet + full-attn) dense 27B model. 14.2 GB of weights — sized to leave room for large KV caches on 24 GB GPUs: with the built-in MTP draft head the full native 262k context fits fully resident (see Memory & context).
Running this yourself: likely needs a rented cloud gpu.
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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.
15 of 22 public signals
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3.4K
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76
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Aug 2026
Released
3/5 signals
2/4 signals
4/5 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
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 sourceQwen3.8-27B-EXL3-3.5bpw is now available through local Ollama runtime. 256K context window listed. Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.
Qwen3.8-27B-EXL3-3.5bpw is now available through local Ollama runtime. 256K context window listed. Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.