LLM Comparison

Grok 4.6 vs Qwen3.8 Max 0902: benchmark scores, pricing & comparison.

Side-by-side Grok 4.6 vs Qwen3.8 Max 0902 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 #9AskClash overall scores 74.9 vs 70.0.
Pricing $2.00/$6.00 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryxAI vs Alibaba.

Grok 4.6 vs Qwen3.8 Max 0902 benchmark comparison

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

MetricGrok 4.6Qwen3.8 Max 0902
Overall Score74.970.0
Leaderboard Rank#5#9
ACB69.059.0
RWT9.0
Coding Agent Index76.4
HLE40.343.6
GPQA94.992.6
IFEval82.8
SWE-Pro64.767.7
SWE-Atlas83.966.3
Terminal-Bench88.486.6
DeepSWE65.969.3
GDPval-AA1753.0
OSWorld86.1
Finance Agent53.7
CharXiv88.4
MMMU-Pro80.482.7
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 Window500K1M
Benchmarks Published1312

Grok 4.6 vs Qwen3.8 Max 0902 head-to-head charts

Grok 4.6 leads 5 and Qwen3.8 Max 0902 leads 4 of 9 shared benchmarks. Charts show only benchmarks both models publish.

Grok 4.6Qwen3.8 Max 0902
Overall
74.9Grok 4.6
70.0Qwen3.8 Max 0902
ACB
69.0Grok 4.6
59.0Qwen3.8 Max 0902
HLE
40.3Grok 4.6
43.6Qwen3.8 Max 0902
GPQA
94.9Grok 4.6
92.6Qwen3.8 Max 0902
SWE-Pro
64.7Grok 4.6
67.7Qwen3.8 Max 0902
SWE-Atlas
83.9Grok 4.6
66.3Qwen3.8 Max 0902
Terminal-Bench
88.4Grok 4.6
86.6Qwen3.8 Max 0902
DeepSWE
65.9Grok 4.6
69.3Qwen3.8 Max 0902
MMMU-Pro
80.4Grok 4.6
82.7Qwen3.8 Max 0902
Grok 4.6
Input$2.00
Output$6.00
Workload$3.20
Context500K
Qwen3.8 Max 0902
Input$2.00
Output$6.00
Workload$3.20
Context1M

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

More Grok 4.6 and Qwen3.8 Max 0902 comparisons

Explore how Grok 4.6 and Qwen3.8 Max 0902 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.