GPT-5.6 Luna (Non-reasoning)
AI model by OpenAI. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. GPT-5.6 Luna (Non-reasoning) is a budget-tier option from OpenAI at $1.20/M output tokens. Despite the low price, it scores competitively on Coding Index (39.3) and Intelligence Index (26.8) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, GPT-5.6 Luna (Non-reasoning) reports 145 tok/s output speed and 710ms time-to-first-token. Output speed is in the normal range — most chat and completion applications will be token-bound, not streaming-bound.
Cost model. For a workload of 1M input tokens + 100K output tokens, GPT-5.6 Luna (Non-reasoning) costs $0.32 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
GPT-5.6 Luna (Non-reasoning)Current | $0.20 | $1.20 | 145 tok/s |
| MiniMax-M2.5 | $0.30 | $1.20 | 94 tok/s |
| Solar Pro 4 | $0.30 | $1.20 | 47 tok/s |
| Qwen3 Next 80B A3B Instruct | $0.15 | $1.20 | 183 tok/s |
| MiniMax-M2.1 | $0.30 | $1.20 | 88 tok/s |
| MiniMax-M3 | $0.30 | $1.20 | 90 tok/s |