LLM Comparison

Grok 4.5 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Side-by-side Grok 4.5 vs Qwen3.7 Plus 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 #7 vs #17AskClash overall scores 81.0 vs 60.1.
Pricing $2.00/$6.00 vs $0.40/$1.60Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryxAI vs Alibaba.

Grok 4.5 vs Qwen3.7 Plus benchmark comparison

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

MetricGrok 4.5Qwen3.7 Plus
Overall Score81.060.1
Leaderboard Rank#7#17
RWT8.57.5
HLE40.334.7
GPQA93.190.3
IFEval94.6
SWE-bench77.7
SWE-Pro64.757.6
Terminal-Bench83.370.3
LiveCodeBench89.6
OSWorld73.3
MCP Atlas73.2
Finance Agent38.2
CharXiv85.9
MMMU-Pro80.479.0
Tau293.0
MRCR91.7
Input Price (per 1M tokens)$2.00$0.40
Output Price (per 1M tokens)$6.00$1.60
Context Window500K1M
Benchmark Cells716

More Grok 4.5 and Qwen3.7 Plus comparisons

Explore how Grok 4.5 and Qwen3.7 Plus 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.