Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
GPT-5.6 Luna vs Hy3: benchmark scores, pricing & comparison.
Side-by-side GPT-5.6 Luna vs Hy3 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 #13 vs #18AskClash overall scores 68.2 vs 58.7.
Pricing $1.00/$6.00 vs $0.12/$0.43Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Tencent.
GPT-5.6 Luna vs Hy3 benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GPT-5.6 Luna | Hy3 |
|---|---|---|
| Overall Score | 68.2 | 58.7 |
| Leaderboard Rank | #13 | #18 |
| RWT | 9.5 | 8.0 |
| Coding Agent Index | 75.0 | — |
| HLE | — | 53.2 |
| GPQA | 92.3 | 90.4 |
| SWE-bench | — | 78.0 |
| SWE-Pro | 62.7 | 57.9 |
| SWE-Atlas | 81.0 | — |
| Terminal-Bench | 84.7 | 71.7 |
| DeepSWE | 67.2 | — |
| MCP Atlas | — | 79.1 |
| Finance Agent | 55.0 | — |
| MMMU-Pro | 78.4 | — |
| ARC-AGI 2 | 59.5 | — |
| Tau2 | — | 92.7 |
| MRCR | 41.3 | 75.1 |
| Input Price (per 1M tokens) | $1.00 | $0.12 |
| Output Price (per 1M tokens) | $6.00 | $0.43 |
| Context Window | 1M | 256K |
| Benchmarks Published | 12 | 9 |
GPT-5.6 Luna vs Hy3 head-to-head charts
GPT-5.6 Luna leads 5 and Hy3 leads 1 of 6 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GPT-5.6 LunaHy3
Overall
RWT
GPQA
SWE-Pro
Terminal-Bench
MRCR
GPT-5.6 Luna
Input$1.00
Output$6.00
Workload$2.20
Context1M
Hy3
Input$0.12
Output$0.43
Workload$0.21
Context256K
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More GPT-5.6 Luna and Hy3 comparisons
Explore how GPT-5.6 Luna and Hy3 stack up against other top-ranked LLMs.
How to read this comparison
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.