Qwen3.5 is Alibaba’s new model family, including Qwen3.5-35B-A3B, 27B, 122B-A10B and 397B-A17B and the new Small series: Qwen3.5-0.8B, 2B, 4B and 9B. The multimodal hybrid reasoning LLMs deliver the strongest performances for their sizes. They support 256K context across 201 languages, have thinking + non-thinking, and excel in agentic coding, vision, chat, and long-context tasks. The 35B and 27B models work on a 22GB Mac / RAM device. See all GGUFs herearrow-up-right.
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Sarvam 105B performs strongly on multi-step reasoning benchmarks, reflecting the training emphasis on complex problem solving. On AIME 25, the model achieves 88.3 Pass@1, improving to 96.7 with tool use, indicating effective integration between reasoning and external tools. It scores 78.7 on GPQA Diamond and 85.8 on HMMT, outperforming several comparable models on both. On Beyond AIME (69.1), which requires deeper reasoning chains and harder mathematical decomposition, the model leads or matches the comparison set. Taken together, these results reflect consistent strength in sustained reasoning and difficult problem-solving tasks.