Model Catalogue
Curated local and open-source AI models. From community workhorses to experimental frontier architectures.
Spotlight — June 2026
Alibaba's Mixture-of-Experts flagship activates only 22B of its 27B parameters per token. It offers frontier-class reasoning with remarkable efficiency. Hybrid thinking mode toggles chain-of-thought on or off at inference time. Outperforms GPT-4o on multiple benchmarks while remaining fully locally runnable on high-end consumer rigs.
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Last updated: June 2026
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Last updated: June 2026
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Benchmarks
Reasoning, knowledge and coding scores for catalogue models alongside reference open-source baselines. Click any column header to sort.
| Model | Type | MMLU | GPQA | HumanEval | MATH | Avg |
|---|
MMLU = general knowledge · GPQA = graduate-level science (Diamond) · HumanEval = code generation · MATH = competition mathematics. Scores are representative composite figures gathered from public reports and provider cards for orientation only — verify against primary sources before citing. Reference baselines are widely-used open-weight models included for comparison.
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Alibaba / Qwen
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