LLM Comparison

Qwen3.8 Max vs Grok 4.5: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Max vs Grok 4.5 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 #11AskClash overall scores 75.8 vs 71.4.
Pricing $2.00/$6.00 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAlibaba vs xAI.

Qwen3.8 Max vs Grok 4.5 benchmark comparison

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

MetricQwen3.8 MaxGrok 4.5
Overall Score75.871.4
Leaderboard Rank#5#11
RWT9.0
Coding Agent Index76.4
HLE43.640.3
GPQA92.693.1
IFEval82.8
SWE-Pro67.764.7
SWE-Atlas83.9
Terminal-Bench86.683.3
DeepSWE56.6
OSWorld86.1
Finance Agent48.3
CharXiv88.4
MMMU-Pro82.380.4
ARC-AGI 252.6
MRCR92.9
Input Price (per 1M tokens)$2.00$2.00
Output Price (per 1M tokens)$6.00$6.00
Context Window1M500K
Benchmarks Published1112

Qwen3.8 Max vs Grok 4.5 head-to-head charts

Qwen3.8 Max leads 5 and Grok 4.5 leads 1 of 6 shared benchmarks. Charts show only benchmarks both models publish.

Qwen3.8 MaxGrok 4.5
Overall
75.8Qwen3.8 Max
71.4Grok 4.5
HLE
43.6Qwen3.8 Max
40.3Grok 4.5
GPQA
92.6Qwen3.8 Max
93.1Grok 4.5
SWE-Pro
67.7Qwen3.8 Max
64.7Grok 4.5
Terminal-Bench
86.6Qwen3.8 Max
83.3Grok 4.5
MMMU-Pro
82.3Qwen3.8 Max
80.4Grok 4.5
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
Context1M
Grok 4.5
Input$2.00
Output$6.00
Workload$3.20
Context500K

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

More Qwen3.8 Max and Grok 4.5 comparisons

Explore how Qwen3.8 Max and Grok 4.5 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.