Real data comparison
OpenAI: GPT-5.6 Luna (batch) vs Ox Alpha
On price, Ox Alpha is cheaper ($0.00 vs $0.45 per 1M). In real production usage, Ox Alpha is used more (rank #1 vs #10 of 312). Across 24 real task categories where both models have classified traffic, Ox Alpha handles more of the traffic in 20 of them.
- OpenAI: GPT-5.6 Luna (batch)
- Ox Alpha
Head-to-head by real task
OpenAI: GPT-5.6 Luna (batch) leads 3 of 24 shared task categories by real classified traffic share; Ox Alpha leads 20. Not a benchmark score - this is what developers actually route to each model for, per OpenRouter's task classification.
| Task | OpenAI: GPT-5.6 Luna (batch) | Ox Alpha |
|---|---|---|
| Translation | 35.3% | 2.4% |
| Repo Scanning | 3.0% | 28.0% |
| Code Review | 5.1% | 28.5% |
| Data Transformation | 27.3% | 4.7% |
| Frontend & UI | 3.5% | 22.1% |
| DevOps | 2.5% | 20.8% |
| File I/O | 4.9% | 22.6% |
| Debugging | 4.5% | 21.9% |
| DevOps & Config | 6.9% | 23.5% |
| Research & Reports | 3.0% | 19.2% |
| Multi-step Planning | 6.3% | 21.8% |
| Workflow Execution | 5.5% | 18.8% |
| Code Generation | 9.0% | 21.4% |
| Shell Execution | 3.1% | 14.8% |
| Web Search | 3.3% | 14.0% |
| SQL & Database | 8.0% | 16.8% |
| Q&A & Knowledge | 4.3% | 8.2% |
| Conversation | 3.5% | 6.7% |
| Data Extraction | 3.9% | 7.1% |
| Finance & Trading | 3.7% | 6.8% |
| Tool Dispatch | 11.0% | 14.0% |
| Content Writing | 3.1% | 5.7% |
| Classification | 6.0% | 3.6% |
| Summarization | 4.7% | 4.7% |
Usage share over time
- OpenAI: GPT-5.6 Luna (batch)
- Ox Alpha
Frequently asked questions
OpenAI: GPT-5.6 Luna (batch) vs Ox Alpha: which is better quality?
Quality data is unavailable for one or both models.
OpenAI: GPT-5.6 Luna (batch) vs Ox Alpha: which is cheaper?
Ox Alpha is cheaper at $0.00/1M vs $0.45/1M.
OpenAI: GPT-5.6 Luna (batch) vs Ox Alpha: which is used more?
Ox Alpha has higher real OpenRouter usage share (rank #1 vs #10 of 312).
OpenAI: GPT-5.6 Luna (batch) vs Ox Alpha: which wins more real-world task categories?
Ox Alpha handles more traffic in 20 of 24 shared task categories where both models have classified OpenRouter usage.
Source: OpenRouter (openrouter.ai/rankings), as of August 28, 2026.
Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).
Methodology: www.smophy.ai/benchmark/methodology
Token counts originate from each provider's own tokenizer and are not directly comparable across providers.