AI model matchup
GPT-5.6 Luna vs Qwen3.8-Flash-Next
A side-by-side look at published capability scores, listed API pricing, speed, context, and license - to help you decide which trade-offs fit your work.
GPT-5.6 LunavsQwen3.8-Flash-Next
Qwen3.8-Flash-Next leads the RankLLMs Index by 0.7 points (50.5 vs 49.8). Verified API Pricing: $0.20 (GPT-5.6 Luna) vs Free/Open Source (Qwen3.8-Flash-Next) per 1M tokens.
Capability profile
Speed duel
tpsPrice duel
$/1MShorter bar = cheaper. Blended per 1M tokens.
| Metric | GPT-5.6 Luna | Qwen3.8-Flash-Next |
|---|---|---|
| RankLLMs Overall Score | 49.8 pts | 50.5 pts ▲ |
| Reasoning | 52.5 ▲ | 52.4 |
| Coding | 68.5 ▲ | 68.2 |
| Agentic Tool Use | 46.0 ▲ | 42.0 |
| Code Arena Elo | 1166 | null |
| Inference Speed | 157 tps ▲ | 50 tps |
| API Price (per 1M tokens) | $0.20 | Free/Open Source |
| Context Window | 1.1M | 262K |
| License | Proprietary | Open Source |
| Global Rank | #38 | #36 ▲ |
Decision notes
What the numbers suggest
Qwen3.8-Flash-Next leads the RankLLMs overall score by 0.7 points. The overall score is only one signal; compare the capability scores and model terms against your own workload.
Treat the overall index as a starting point, then prioritize the benchmark that resembles your task. Published scores and provider pricing can change; this comparison does not represent a first-party test of either model.
- Overall index
- Qwen3.8-Flash-Next leads
- 49.8 to 50.5 pts
- Coding score
- GPT-5.6 Luna leads
- 68.5 to 68.2 pts
- Reasoning score
- GPT-5.6 Luna leads
- 52.5 to 52.4 pts
- Agentic score
- GPT-5.6 Luna leads
- 46.0 to 42.0 pts
Choose by workload
Which profile fits your use?
OpenAI
Consider GPT-5.6 Luna when
your workload gives more weight to the higher listed coding score, the higher listed reasoning score. Compare those signals with your own task mix, latency needs, and budget.
View GPT-5.6 Luna profileQwen / Alibaba
Consider Qwen3.8-Flash-Next when
your workload gives more weight to the higher overall index score. Compare those signals with your own task mix, latency needs, and budget.
View Qwen3.8-Flash-Next profile