LLM Comparison

Claude Opus 5 vs Qwen3.8 Max 0902: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5 vs Qwen3.8 Max 0902 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.

Rank #2 vs #9AskClash overall scores 89.9 vs 70.0.
Pricing $5.00/$25.0 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Alibaba.

Claude Opus 5 vs Qwen3.8 Max 0902 benchmark comparison

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

MetricClaude Opus 5Qwen3.8 Max 0902
Overall Score89.970.0
Leaderboard Rank#2#9
ACB63.959.0
RWT9.0
HLE64.743.6
GPQA92.6
IFEval82.8
SWE-bench96.0
SWE-Pro79.267.7
SWE-Atlas66.3
Terminal-Bench86.6
DeepSWE73.669.3
GDPval-AA1861.0
OSWorld86.1
MCP Atlas85.8
CharXiv88.4
MMMU-Pro82.7
ARC-AGI 290.4
MRCR92.9
Input Price (per 1M tokens)$5.00$2.00
Output Price (per 1M tokens)$25.0$6.00
Context Window1M1M
Benchmarks Published812

Claude Opus 5 vs Qwen3.8 Max 0902 head-to-head charts

Claude Opus 5 leads 5 and Qwen3.8 Max 0902 leads 0 of 5 shared benchmarks. Qwen3.8 Max 0902 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5Qwen3.8 Max 0902
Overall
89.9Claude Opus 5
70.0Qwen3.8 Max 0902
ACB
63.9Claude Opus 5
59.0Qwen3.8 Max 0902
HLE
64.7Claude Opus 5
43.6Qwen3.8 Max 0902
SWE-Pro
79.2Claude Opus 5
67.7Qwen3.8 Max 0902
DeepSWE
73.6Claude Opus 5
69.3Qwen3.8 Max 0902
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
Context1M
Qwen3.8 Max 0902
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.

More Claude Opus 5 and Qwen3.8 Max 0902 comparisons

Explore how Claude Opus 5 and Qwen3.8 Max 0902 stack up against other top-ranked LLMs.

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.