LLM Leaderboard · Proprietary

Qwen3.8 Max 0902 leaderboard — benchmarks, pricing, and comparisons.

Compare Qwen3.8 Max 0902 vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

Rank #9AskClash overall score: 70.0
$2.00 / $6.00Input and output token price, when published. Context: 1M.
Visit websiteVisit the model provider's website.

Qwen3.8 Max 0902 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.

Overall70.0
Benchmark cells12
Context1M
CreatorAlibaba

Qwen3.8 Max 0902 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.

ACB

59.0 score

HLE

43.6 score

GPQA

92.6 score

IFEval

82.8 score

SWE-Pro

67.7 score

SWE-Atlas

66.3 score

Terminal-Bench

86.6 score

DeepSWE

69.3 score

OSWorld

86.1 score

CharXiv

88.4 score

MMMU-Pro

82.7 score

MRCR

92.9 score

Qwen3.8 Max 0902 vs other AI models

Use these comparison links to evaluate Qwen3.8 Max 0902 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.

Alibaba Just Made Its AI Model Much Cheaper to Run

It also announced a 125 billion-parameter multimodal model, Qwen3.8-Flash-Next, which also provides an early look at the architecture of Qwen4. Cost is perhaps the most crucial number. Alibaba said the model compares well to newer models from Anthropic and Dee

Last cached leaderboard date: . This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.