ACB
56.4 score
LLM Leaderboard · Open Weight
Qwen3.8 27B benchmarks — leaderboard rank, pricing, and comparisons.
Qwen3.8 27B ranks #38 on the AskClash LLM leaderboard with an overall score of 50.7. Compare Qwen3.8 27B vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.
Rank #38AskClash overall score: 50.7
$0.45 / $3.20Input and output token price, when published. Context: 262K.
Visit websiteVisit the model provider's website.
Qwen3.8 27B benchmark snapshot
AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.
Overall50.7
Benchmark cells12
Context262K
CreatorAlibaba
Qwen3.8 27B public benchmark scores
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.
HLE
30.8 score
GPQA
89.2 score
IFEval
79.5 score
SWE-Pro
61.7 score
DeepSWE
42.2 score
GDPval-AA
1419.1 score
OSWorld
84.3 score
Finance Agent
48.6 score
CharXiv
90.2 score
MMMU-Pro
76.3 score
Qwen3.8 27B vs other AI models
Use these comparison links to evaluate Qwen3.8 27B against nearby LLMs by benchmark score, price, context window, and provider.
Related AI and tech coverage
Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.
Meet the Underdog Saluki 27B: A 2-bit Qwen3.8-27B That Beats the Original at Tool Calling
Underdog Saluki 27B is a 7.89 GB, 2-bit GGUF of Qwen3.8-27B under Apache 2.0. It beats the 54 GB original on tool calling but gives up ground on competition math and reasoning. The post Meet the Underdog Saluki 27B: A 2-bit Qwen3.8-27B That Beats the Original
Qwen3.8 27B addition in words
Research: Qwen3.8 27B addition in words Colin Frasier posted on Bluesky about an experiment he ran over two years ago using GPT-4o to see how well it could "compute the sum but return the answer in words" across increasingly large numbers. Here's the chart he
Last cached leaderboard date: . This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.