LLM Comparison

Qwen3.8 Max vs Claude Opus 4.8: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Max vs Claude Opus 4.8 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 #7AskClash overall scores 70.9 vs 67.9.
Pricing $2.00/$6.00 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryAlibaba vs Anthropic.

Qwen3.8 Max vs Claude Opus 4.8 benchmark comparison

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

MetricQwen3.8 MaxClaude Opus 4.8
Overall Score70.967.9
Leaderboard Rank#5#7
ACB69.360.1
RWT9.0
Coding Agent Index43.372.5
HLE43.657.9
GPQA92.693.6
IFEval82.862.2
SWE-bench88.6
SWE-Pro67.769.2
SWE-Atlas66.382.5
Terminal-Bench86.674.6
DeepSWE69.359.0
GDPval-AA1689.01889.8
OSWorld86.183.4
MCP Atlas82.2
Finance Agent50.653.9
CharXiv88.489.9
MMMU-Pro82.7
ARC-AGI 272.1
Tau294.4
MRCR92.9
Input Price (per 1M tokens)$2.00$5.00
Output Price (per 1M tokens)$6.00$25.0
Context Window1M1M
Benchmarks Published1618

Qwen3.8 Max vs Claude Opus 4.8 head-to-head charts

Qwen3.8 Max leads 6 and Claude Opus 4.8 leads 8 of 14 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 4.8
Overall
70.9Qwen3.8 Max
67.9Claude Opus 4.8
ACB
69.3Qwen3.8 Max
60.1Claude Opus 4.8
Coding Agent Index
43.3Qwen3.8 Max
72.5Claude Opus 4.8
HLE
43.6Qwen3.8 Max
57.9Claude Opus 4.8
GPQA
92.6Qwen3.8 Max
93.6Claude Opus 4.8
IFEval
82.8Qwen3.8 Max
62.2Claude Opus 4.8
SWE-Pro
67.7Qwen3.8 Max
69.2Claude Opus 4.8
SWE-Atlas
66.3Qwen3.8 Max
82.5Claude Opus 4.8
Terminal-Bench
86.6Qwen3.8 Max
74.6Claude Opus 4.8
DeepSWE
69.3Qwen3.8 Max
59.0Claude Opus 4.8
GDPval-AA
1689.0Qwen3.8 Max
1889.8Claude Opus 4.8
OSWorld
86.1Qwen3.8 Max
83.4Claude Opus 4.8
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
Context1M
Claude Opus 4.8
Input$5.00
Output$25.0
Workload$10
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 4.8 comparisons

Explore how Qwen3.8 Max and Claude Opus 4.8 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.