LLM Comparison

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

Side-by-side GPT-5.6 Terra 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 #12 vs #18AskClash overall scores 67.1 vs 58.2.
Pricing $2.50/$15.0 vs $0.83/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Tencent.

GPT-5.6 Terra vs Hy4 Preview benchmark comparison

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

MetricGPT-5.6 TerraHy4 Preview
Overall Score67.158.2
Leaderboard Rank#12#18
ACB56.4
RWT8.58.5
Coding Agent Index77.0
HLE43.4
GPQA92.992.3
SWE-Pro63.465.7
SWE-Atlas81.0
Terminal-Bench87.485.4
DeepSWE69.664.3
GDPval-AA1593.01678.0
MCP Atlas83.7
Finance Agent54.4
MMMU-Pro80.7
ARC-AGI 283.9
Tau286.3
MRCR89.6
Input Price (per 1M tokens)$2.50$0.83
Output Price (per 1M tokens)$15.0$2.50
Context Window1M1M
Benchmarks Published147

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

GPT-5.6 Terra leads 4 and Hy4 Preview leads 2 of 7 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraHy4 Preview
Overall
67.1GPT-5.6 Terra
58.2Hy4 Preview
RWT
8.5GPT-5.6 Terra
8.5Hy4 Preview
GPQA
92.9GPT-5.6 Terra
92.3Hy4 Preview
SWE-Pro
63.4GPT-5.6 Terra
65.7Hy4 Preview
Terminal-Bench
87.4GPT-5.6 Terra
85.4Hy4 Preview
DeepSWE
69.6GPT-5.6 Terra
64.3Hy4 Preview
GDPval-AA
1593.0GPT-5.6 Terra
1678.0Hy4 Preview
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M
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 GPT-5.6 Terra and Hy4 Preview comparisons

Explore how GPT-5.6 Terra 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.