LLM Comparison

SWE-2 vs Hy4 Preview: benchmark scores, pricing & comparison.

Side-by-side SWE-2 vs Hy4 Preview 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 #10 vs #15AskClash overall scores 66.3 vs 64.0.
Pricing $0/$0 vs $0.83/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightCognition vs Tencent.

SWE-2 vs Hy4 Preview benchmark comparison

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

MetricSWE-2Hy4 Preview
Overall Score66.364.0
Leaderboard Rank#10#15
ACB60.0
RWT8.58.5
Coding Agent Index51.9
HLE43.543.4
GPQA93.592.3
SWE-Pro65.7
SWE-Atlas66.1
Terminal-Bench92.885.4
DeepSWE73.064.3
GDPval-AA1668.01678.0
MCP Atlas84.283.7
Finance Agent54.4
CharXiv84.8
MMMU-Pro81.6
Input Price (per 1M tokens)$0$0.83
Output Price (per 1M tokens)$0$2.50
Context Window256K1M
Benchmarks Published137

SWE-2 vs Hy4 Preview head-to-head charts

SWE-2 leads 6 and Hy4 Preview leads 1 of 8 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-2Hy4 Preview
Overall
66.3SWE-2
64.0Hy4 Preview
RWT
8.5SWE-2
8.5Hy4 Preview
HLE
43.5SWE-2
43.4Hy4 Preview
GPQA
93.5SWE-2
92.3Hy4 Preview
Terminal-Bench
92.8SWE-2
85.4Hy4 Preview
DeepSWE
73.0SWE-2
64.3Hy4 Preview
GDPval-AA
1668.0SWE-2
1678.0Hy4 Preview
MCP Atlas
84.2SWE-2
83.7Hy4 Preview
SWE-2
Input$0
Output$0
Workload$0.00
Context256K
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M

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

More SWE-2 and Hy4 Preview comparisons

Explore how SWE-2 and Hy4 Preview 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.