LLM Comparison

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

Side-by-side Qwen3.8 Max 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 #5 vs #18AskClash overall scores 70.9 vs 63.8.
Pricing $2.00/$6.00 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryAlibaba vs OpenAI.

Qwen3.8 Max 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 MaxGPT-5.5
Overall Score70.963.8
Leaderboard Rank#5#18
ACB69.362.0
RWT8.0
Coding Agent Index43.3
HLE43.652.2
GPQA92.693.6
IFEval82.875.9
SWE-Pro67.758.6
SWE-Atlas66.3
Terminal-Bench86.682.7
DeepSWE69.367.0
GDPval-AA1689.01395.8
OSWorld86.178.7
MCP Atlas75.3
Finance Agent50.651.8
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 Published1615

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

Qwen3.8 Max leads 9 and GPT-5.5 leads 3 of 12 shared benchmarks. Qwen3.8 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxGPT-5.5
Overall
70.9Qwen3.8 Max
63.8GPT-5.5
ACB
69.3Qwen3.8 Max
62.0GPT-5.5
HLE
43.6Qwen3.8 Max
52.2GPT-5.5
GPQA
92.6Qwen3.8 Max
93.6GPT-5.5
IFEval
82.8Qwen3.8 Max
75.9GPT-5.5
SWE-Pro
67.7Qwen3.8 Max
58.6GPT-5.5
Terminal-Bench
86.6Qwen3.8 Max
82.7GPT-5.5
DeepSWE
69.3Qwen3.8 Max
67.0GPT-5.5
GDPval-AA
1689.0Qwen3.8 Max
1395.8GPT-5.5
OSWorld
86.1Qwen3.8 Max
78.7GPT-5.5
Finance Agent
50.6Qwen3.8 Max
51.8GPT-5.5
MMMU-Pro
82.7Qwen3.8 Max
81.2GPT-5.5
Qwen3.8 Max
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 and GPT-5.5 comparisons

Explore how Qwen3.8 Max 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.