LLM Comparison

Qwen3.8 Max 0902 vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Max 0902 vs GPT-5.5 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 #9 vs #14AskClash overall scores 70.0 vs 65.8.
Pricing $2.00/$6.00 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAlibaba vs OpenAI.

Qwen3.8 Max 0902 vs GPT-5.5 benchmark comparison

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

MetricQwen3.8 Max 0902GPT-5.5
Overall Score70.065.8
Leaderboard Rank#9#14
ACB59.062.0
RWT8.0
Coding Agent Index61.0
HLE43.652.2
GPQA92.693.6
IFEval82.8
SWE-Pro67.758.6
SWE-Atlas66.3
Terminal-Bench86.682.7
DeepSWE69.367.0
OSWorld86.178.7
MCP Atlas75.3
Finance Agent51.8
CharXiv88.4
MMMU-Pro82.781.2
ARC-AGI 285.0
Tau298.0
MRCR92.9
Input Price (per 1M tokens)$2.00$5.00
Output Price (per 1M tokens)$6.00$30.0
Context Window1M1M
Benchmarks Published1214

Qwen3.8 Max 0902 vs GPT-5.5 head-to-head charts

Qwen3.8 Max 0902 leads 6 and GPT-5.5 leads 3 of 9 shared benchmarks. Qwen3.8 Max 0902 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902GPT-5.5
Overall
70.0Qwen3.8 Max 0902
65.8GPT-5.5
ACB
59.0Qwen3.8 Max 0902
62.0GPT-5.5
HLE
43.6Qwen3.8 Max 0902
52.2GPT-5.5
GPQA
92.6Qwen3.8 Max 0902
93.6GPT-5.5
SWE-Pro
67.7Qwen3.8 Max 0902
58.6GPT-5.5
Terminal-Bench
86.6Qwen3.8 Max 0902
82.7GPT-5.5
DeepSWE
69.3Qwen3.8 Max 0902
67.0GPT-5.5
OSWorld
86.1Qwen3.8 Max 0902
78.7GPT-5.5
MMMU-Pro
82.7Qwen3.8 Max 0902
81.2GPT-5.5
Qwen3.8 Max 0902
Input$2.00
Output$6.00
Workload$3.20
Context1M
GPT-5.5
Input$5.00
Output$30.0
Workload$11
Context1M

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

More Qwen3.8 Max 0902 and GPT-5.5 comparisons

Explore how Qwen3.8 Max 0902 and GPT-5.5 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.