LLM Comparison

Hy3 vs Qwen3.7 Max: benchmark scores, pricing & comparison.

Side-by-side Hy3 vs Qwen3.7 Max 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.

Verdict: Hy3 ranks higher (#38 vs #44); Qwen3.7 Max wins 4 of 7 shared benchmarks; Hy3 costs less ($0.12/$0.43 vs $2.50/$7.50 per 1M tokens).

Rank #38 vs #44AskClash overall scores 45.5 vs 39.7.
Pricing $0.12/$0.43 vs $2.50/$7.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryTencent vs Alibaba.

Hy3 vs Qwen3.7 Max benchmark comparison

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

MetricHy3Qwen3.7 Max
Overall Score45.539.7
Leaderboard Rank#38#44
RWT8.07.5
HLE53.241.4
GPQA90.492.4
IFEval—94.3
SWE-bench78.080.4
SWE-Pro57.9—
GDPval-AA—1546.0
MCP Atlas79.176.4
Finance Agent—48.4
Tau292.794.7
MRCR75.190.4
Input Price (per 1M tokens)$0.12$2.50
Output Price (per 1M tokens)$0.43$7.50
Context Window256K1M
Benchmarks Published56

Hy3 vs Qwen3.7 Max head-to-head charts

Hy3 leads 4 and Qwen3.7 Max leads 4 of 8 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy3Qwen3.7 Max
Overall
45.5Hy3
39.7Qwen3.7 Max
RWT
8.0Hy3
7.5Qwen3.7 Max
HLE
53.2Hy3
41.4Qwen3.7 Max
GPQA
90.4Hy3
92.4Qwen3.7 Max
SWE-bench
78.0Hy3
80.4Qwen3.7 Max
MCP Atlas
79.1Hy3
76.4Qwen3.7 Max
Tau2
92.7Hy3
94.7Qwen3.7 Max
MRCR
75.1Hy3
90.4Qwen3.7 Max
Hy3
Input$0.12
Output$0.43
Workload$0.21
Context256K
Qwen3.7 Max
Input$2.50
Output$7.50
Workload$4.00
Context1M

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

More Hy3 and Qwen3.7 Max comparisons

Explore how Hy3 and Qwen3.7 Max 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.