LLM Comparison

Hy4 Preview vs GPT-5.6 Terra: benchmark scores, pricing & comparison.

Side-by-side Hy4 Preview vs GPT-5.6 Terra 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 #12 vs #14AskClash overall scores 65.0 vs 64.9.
Pricing $0.83/$2.50 vs $2.50/$15.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryTencent vs OpenAI.

Hy4 Preview vs GPT-5.6 Terra benchmark comparison

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

MetricHy4 PreviewGPT-5.6 Terra
Overall Score65.064.9
Leaderboard Rank#12#14
ACB56.4
RWT8.58.5
Coding Agent Index77.0
HLE43.442.9
GPQA92.392.9
IFEval71.2
SWE-Pro65.763.4
SWE-Atlas81.0
Terminal-Bench85.487.4
DeepSWE64.369.6
GDPval-AA1678.01593.0
MCP Atlas83.7
Finance Agent54.4
MMMU-Pro80.7
ARC-AGI 283.9
Tau286.3
MRCR89.6
Input Price (per 1M tokens)$0.83$2.50
Output Price (per 1M tokens)$2.50$15.0
Context Window1M1M
Benchmarks Published716

Hy4 Preview vs GPT-5.6 Terra head-to-head charts

Hy4 Preview leads 4 and GPT-5.6 Terra leads 3 of 8 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy4 PreviewGPT-5.6 Terra
Overall
65.0Hy4 Preview
64.9GPT-5.6 Terra
RWT
8.5Hy4 Preview
8.5GPT-5.6 Terra
HLE
43.4Hy4 Preview
42.9GPT-5.6 Terra
GPQA
92.3Hy4 Preview
92.9GPT-5.6 Terra
SWE-Pro
65.7Hy4 Preview
63.4GPT-5.6 Terra
Terminal-Bench
85.4Hy4 Preview
87.4GPT-5.6 Terra
DeepSWE
64.3Hy4 Preview
69.6GPT-5.6 Terra
GDPval-AA
1678.0Hy4 Preview
1593.0GPT-5.6 Terra
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M

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

More Hy4 Preview and GPT-5.6 Terra comparisons

Explore how Hy4 Preview and GPT-5.6 Terra 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.