How do Qwen3.8 Max and Claude Opus 5.5 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.8 Max and Claude Opus 5.5 when publicly disclosed.

LLM Comparison

Qwen3.8 Max vs Claude Opus 5.5: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 Max or Claude Opus 5.5?

AskClash compares Qwen3.8 Max and Claude Opus 5.5 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

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

Open live leaderboard Qwen3.8 Max model page Claude Opus 5.5 model page

Rank #5 vs #12AskClash overall scores 70.5 vs 64.5.

Pricing $2.00/$6.00 vs $4.00/$20.0Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryAlibaba vs Anthropic.

Qwen3.8 Max vs Claude Opus 5.5 benchmark comparison

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

Metric	Qwen3.8 Max	Claude Opus 5.5
Overall Score	70.5	64.5
Leaderboard Rank	#5	#12
ACB	69.3	61.7
Coding Agent Index	43.3	—
HLE	43.6	67.7
GPQA	92.6	—
IFEval	82.8	—
SWE-Pro	67.7	89.9
SWE-Atlas	66.3	—
Terminal-Bench	86.6	—
DeepSWE	69.3	74.2
GDPval-AA	1667.7	1846.2
OSWorld	86.1	—
Finance Agent	50.6	—
CharXiv	88.4	—
MMMU-Pro	82.7	87.7
MRCR	92.9	—
Input Price (per 1M tokens)	$2.00	$4.00
Output Price (per 1M tokens)	$6.00	$20.0
Context Window	1M	1M
Benchmarks Published	16	7

Qwen3.8 Max vs Claude Opus 5.5 head-to-head charts

Qwen3.8 Max leads 2 and Claude Opus 5.5 leads 5 of 7 shared benchmarks. Qwen3.8 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxClaude Opus 5.5

Overall

70.5Qwen3.8 Max

64.5Claude Opus 5.5

ACB

69.3Qwen3.8 Max

61.7Claude Opus 5.5

HLE

43.6Qwen3.8 Max

67.7Claude Opus 5.5

SWE-Pro

67.7Qwen3.8 Max

89.9Claude Opus 5.5

DeepSWE

69.3Qwen3.8 Max

74.2Claude Opus 5.5

GDPval-AA

1667.7Qwen3.8 Max

1846.2Claude Opus 5.5

MMMU-Pro

82.7Qwen3.8 Max

87.7Claude Opus 5.5

Qwen3.8 Max

Input$2.00

Output$6.00

Workload$3.20

Context1M

Claude Opus 5.5

Input$4.00

Output$20.0

Workload$8.00

Context1M

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

More Qwen3.8 Max and Claude Opus 5.5 comparisons

Explore how Qwen3.8 Max and Claude Opus 5.5 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Qwen3.8 Max Claude Fable 5.1 vs Claude Opus 5.5 Claude Fable 5 vs Qwen3.8 Max Claude Fable 5 vs Claude Opus 5.5 Claude Opus 5 vs Qwen3.8 Max Claude Opus 5 vs Claude Opus 5.5 GPT-5.6 Sol vs Qwen3.8 Max GPT-5.6 Sol vs Claude Opus 5.5 Qwen3.8 Max vs GPT-6 Astra GPT-6 Astra vs Claude Opus 5.5

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.