How does Qwen3.8 Max compare with other LLMs?

AskClash compares Qwen3.8 Max against nearby AI models using public benchmark scores, pricing, context window, and access details.

What benchmarks are tracked for Qwen3.8 Max?

The page shows cached published benchmark signals such as HLE, GPQA, SWE-bench, SWE-Pro, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and related model scores when available.

LLM Leaderboard · Proprietary

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

Compare Qwen3.8 Max 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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Rank #13AskClash overall score: 64.0

$2.00 / $6.00Input and output token price, when published. Context: 1M.

Visit websiteVisit the model provider's website.

Qwen3.8 Max 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.

Overall64.0

Benchmark cells10

Context1M

CreatorAlibaba

Qwen3.8 Max 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

43.6 score

GPQA

92.6 score

IFEval

82.8 score

SWE-Pro

67.7 score

Terminal-Bench

86.6 score

DeepSWE

56.6 score

OSWorld

86.1 score

CharXiv

88.4 score

MMMU-Pro

82.3 score

MRCR

92.9 score

Qwen3.8 Max vs other AI models

Use these comparison links to evaluate Qwen3.8 Max against nearby LLMs by benchmark score, price, context window, and provider.

Claude Opus 5 vs Qwen3.8 Max Claude Fable 5 vs Qwen3.8 Max GPT-5.6 Sol vs Qwen3.8 Max Kimi K3 vs Qwen3.8 Max Claude Opus 4.8 vs Qwen3.8 Max GPT-5.5 vs Qwen3.8 Max Muse Spark 1.1 vs Qwen3.8 Max GPT-5.6 Terra vs Qwen3.8 Max

Related AI and tech coverage

Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.

Alibaba unveils Qwen3.8-Max, its most capable AI model yet.

🚨 Alibaba unveils Qwen3.8-Max, its most capable AI model yet. Highlights: • Massive 2.4T-parameter frontier model • Built for autonomous coding—from an empty folder to production-ready apps • Delivers production-quality work across hundreds of real-world p

Qwen3.8-Max by @Alibaba_Qwen has reshaped the cost-performance Pareto frontier in Frontend Code Arena, with pricing of…

Qwen3.8-Max by @Alibaba_Qwen has reshaped the cost-performance Pareto frontier in Frontend Code Arena, with pricing of $2 per input MToken and $6 per output MToken. Top models on the Pareto frontier: - Claude-Opus-5 - Kimi-K3 - Qwen3.8-Max - GLM-5.2 - DeepSee

Big news: Qwen3.8-Max by @Alibaba_Qwen just landed at #4 on the Frontend Code Arena leaderboard with a score of 1,668!

Big news: Qwen3.8-Max by @Alibaba_Qwen just landed at #4 on the Frontend Code Arena leaderboard with a score of 1,668! With 1,668 points, Qwen3.8-Max is trailing only Claude Opus 5 (Max) with 1,705 pts and Kimi K3 (Max) with 1,676 pts, on par with Claude Opus

Last cached leaderboard date: August 2, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.