LLM Comparison

Qwen3.7 Max vs Qwen3.5 397B: benchmark scores, pricing & comparison.

Side-by-side Qwen3.7 Max vs Qwen3.5 397B 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 #6 vs #19AskClash overall scores 78.0 vs 49.5.
Pricing $2.50/$7.50 vs $0.60/$3.60Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAlibaba vs Alibaba.

Qwen3.7 Max vs Qwen3.5 397B benchmark comparison

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

MetricQwen3.7 MaxQwen3.5 397B
Overall Score78.049.5
Leaderboard Rank#6#19
RWT8.0
HLE41.428.7
GPQA92.488.4
IFEval94.392.6
SWE-bench80.476.2
Terminal-Bench69.7
LiveCodeBench91.683.6
MCP Atlas76.446.1
Finance Agent48.4
CharXiv80.8
MMMU-Pro79.0
Tau294.783.9
MRCR90.4
Input Price (per 1M tokens)$2.50$0.60
Output Price (per 1M tokens)$7.50$3.60
Context Window1M128K
Benchmark Cells129

More Qwen3.7 Max and Qwen3.5 397B comparisons

Explore how Qwen3.7 Max and Qwen3.5 397B 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.