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.

Open live leaderboardGrok 4.6 model pageQwen3.8 Max 0902 model page
Rank #8 vs #35AskClash overall scores 65.9 vs 53.5.
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 Score65.953.5
Leaderboard Rank#8#35
ACB69.0—
RWT9.0—
HLE42.9—
GPQA94.9—
SWE-Atlas—66.3
Terminal-Bench88.4—
DeepSWE65.969.3
GDPval-AA1753.0—
Finance Agent53.7—
MMMU-Pro—82.7
Input Price (per 1M tokens)$2.00$2.00
Output Price (per 1M tokens)$6.00$6.00
Context Window500K1M
Benchmarks Published83

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

Grok 4.6 leads 1 and Qwen3.8 Max 0902 leads 1 of 2 shared benchmarks. Charts show only benchmarks both models publish.

Grok 4.6Qwen3.8 Max 0902
Overall
65.9Grok 4.6
53.5Qwen3.8 Max 0902
DeepSWE
65.9Grok 4.6
69.3Qwen3.8 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.

Claude Fable 5.1 vs Grok 4.6Claude Fable 5.1 vs Qwen3.8 Max 0902Claude Fable 5 vs Grok 4.6Claude Fable 5 vs Qwen3.8 Max 0902Claude Opus 5 vs Grok 4.6Claude Opus 5 vs Qwen3.8 Max 0902GPT-5.6 Sol vs Grok 4.6GPT-5.6 Sol vs Qwen3.8 Max 0902GPT-6 Astra vs Grok 4.6GPT-6 Astra vs Qwen3.8 Max 0902

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.