HLE
24.3 score
Compare Qwen3.5-27B vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.
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Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.
24.3 score
85.5 score
95.0 score
72.4 score
41.6 score
80.7 score
56.2 score
79.5 score
75.0 score
93.9 score
Use these comparison links to evaluate Qwen3.5-27B against nearby LLMs by benchmark score, price, context window, and provider.
Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.
Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model Simon Willison’s Weblog Subscribe Sponsored by: Honeycomb — AI agents behave unpredictably. Get the context you need to debug what actually happened. Read the blog 22nd April 2026 - Link Blog Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model ( via ) Big claims from Qwen about their latest open weight model: Qwen3.6-27B delivers flagship-level agentic coding performance, surpassing the previous-generation open-source flagship Qwen3.5-3

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In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into incremental gains. The exception is domain-specialized intelligence, where true step-function improvements are still the norm. When a model is fused with an organization’s…
Last cached leaderboard date: June 9, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.