LLM Comparison

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

Side-by-side Qwen3.8 Max 0902 vs Qwen3.8 Max 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 Max model page
Rank #9 vs #11AskClash overall scores 70.0 vs 68.7.
Pricing $2.00/$6.00 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAlibaba vs Alibaba.

Qwen3.8 Max 0902 vs Qwen3.8 Max 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 Max
Overall Score70.068.7
Leaderboard Rank#9#11
ACB59.059.0
HLE43.643.6
GPQA92.692.6
IFEval82.882.8
SWE-Pro67.767.7
SWE-Atlas66.3—
Terminal-Bench86.686.6
DeepSWE69.356.6
OSWorld86.186.1
Finance Agent—50.6
CharXiv88.488.4
MMMU-Pro82.782.3
MRCR92.992.9
Input Price (per 1M tokens)$2.00$2.00
Output Price (per 1M tokens)$6.00$6.00
Context Window1M1M
Benchmarks Published1213

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

Qwen3.8 Max 0902 leads 3 and Qwen3.8 Max leads 0 of 12 shared benchmarks. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902Qwen3.8 Max
Overall
70.0Qwen3.8 Max 0902
68.7Qwen3.8 Max
ACB
59.0Qwen3.8 Max 0902
59.0Qwen3.8 Max
HLE
43.6Qwen3.8 Max 0902
43.6Qwen3.8 Max
GPQA
92.6Qwen3.8 Max 0902
92.6Qwen3.8 Max
IFEval
82.8Qwen3.8 Max 0902
82.8Qwen3.8 Max
SWE-Pro
67.7Qwen3.8 Max 0902
67.7Qwen3.8 Max
Terminal-Bench
86.6Qwen3.8 Max 0902
86.6Qwen3.8 Max
DeepSWE
69.3Qwen3.8 Max 0902
56.6Qwen3.8 Max
OSWorld
86.1Qwen3.8 Max 0902
86.1Qwen3.8 Max
CharXiv
88.4Qwen3.8 Max 0902
88.4Qwen3.8 Max
MMMU-Pro
82.7Qwen3.8 Max 0902
82.3Qwen3.8 Max
MRCR
92.9Qwen3.8 Max 0902
92.9Qwen3.8 Max
Qwen3.8 Max 0902
Input$2.00
Output$6.00
Workload$3.20
Context1M
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
Context1M

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.