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 Sol vs Ornith-1.5-397B: benchmark scores, pricing & comparison.
Side-by-side GPT-5.6 Sol vs Ornith-1.5-397B 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 #5 vs #15AskClash overall scores 79.0 vs 66.3.
Pricing $5.00/$30.0 vs $0/$0Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Ornith AI.
GPT-5.6 Sol vs Ornith-1.5-397B benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GPT-5.6 Sol | Ornith-1.5-397B |
|---|---|---|
| Overall Score | 79.0 | 66.3 |
| Leaderboard Rank | #5 | #15 |
| ACB | 63.2 | — |
| RWT | 9.5 | — |
| Coding Agent Index | 80.0 | — |
| HLE | 47.2 | 44.6 |
| GPQA | 94.1 | 92.8 |
| SWE-bench | — | 86.0 |
| SWE-Pro | 64.6 | — |
| SWE-Atlas | 84.0 | — |
| Terminal-Bench | 88.8 | — |
| DeepSWE | 72.7 | — |
| MCP Atlas | — | 80.0 |
| Finance Agent | 53.8 | — |
| MMMU-Pro | 83.0 | — |
| ARC-AGI 2 | 92.5 | — |
| Tau2 | 85.1 | — |
| MRCR | 91.5 | — |
| Input Price (per 1M tokens) | $5.00 | $0 |
| Output Price (per 1M tokens) | $30.0 | $0 |
| Context Window | 1M | 262K |
| Benchmarks Published | 15 | 4 |
GPT-5.6 Sol vs Ornith-1.5-397B head-to-head charts
GPT-5.6 Sol leads 3 and Ornith-1.5-397B leads 0 of 3 shared benchmarks. Ornith-1.5-397B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GPT-5.6 SolOrnith-1.5-397B
Overall
HLE
GPQA
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
Context1M
Ornith-1.5-397B
Input$0
Output$0
Workload$0.00
Context262K
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More GPT-5.6 Sol and Ornith-1.5-397B comparisons
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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.