LLM Comparison

Qwen3.8 Max 0902 vs Qwen3.8 27B: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Max 0902 vs Qwen3.8 27B comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboardQwen3.8 Max 0902 model pageQwen3.8 27B model page
Rank #9 vs #28AskClash overall scores 70.0 vs 46.4.
Pricing $2.00/$6.00 vs $0.45/$3.20Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAlibaba vs Alibaba.

Qwen3.8 Max 0902 vs Qwen3.8 27B benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricQwen3.8 Max 0902Qwen3.8 27B
Overall Score70.046.4
Leaderboard Rank#9#28
ACB59.056.4
HLE43.630.8
GPQA92.689.2
IFEval82.879.5
SWE-Pro67.761.7
SWE-Atlas66.3—
Terminal-Bench86.673.0
DeepSWE69.342.2
OSWorld86.184.3
Finance Agent—48.6
CharXiv88.490.2
MMMU-Pro82.7—
MRCR92.9—
Input Price (per 1M tokens)$2.00$0.45
Output Price (per 1M tokens)$6.00$3.20
Context Window1M262K
Benchmarks Published1210

Qwen3.8 Max 0902 vs Qwen3.8 27B head-to-head charts

Qwen3.8 Max 0902 leads 9 and Qwen3.8 27B leads 1 of 10 shared benchmarks. Qwen3.8 27B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902Qwen3.8 27B
Overall
70.0Qwen3.8 Max 0902
46.4Qwen3.8 27B
ACB
59.0Qwen3.8 Max 0902
56.4Qwen3.8 27B
HLE
43.6Qwen3.8 Max 0902
30.8Qwen3.8 27B
GPQA
92.6Qwen3.8 Max 0902
89.2Qwen3.8 27B
IFEval
82.8Qwen3.8 Max 0902
79.5Qwen3.8 27B
SWE-Pro
67.7Qwen3.8 Max 0902
61.7Qwen3.8 27B
Terminal-Bench
86.6Qwen3.8 Max 0902
73.0Qwen3.8 27B
DeepSWE
69.3Qwen3.8 Max 0902
42.2Qwen3.8 27B
OSWorld
86.1Qwen3.8 Max 0902
84.3Qwen3.8 27B
CharXiv
88.4Qwen3.8 Max 0902
90.2Qwen3.8 27B
Qwen3.8 Max 0902
Input$2.00
Output$6.00
Workload$3.20
Context1M
Qwen3.8 27B
Input$0.45
Output$3.20
Workload$1.09
Context262K

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

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How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.