AI model matchup
Qwen3.8-Flash-Next vs GPT-6 Luna
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.
Qwen3.8-Flash-NextvsGPT-6 Luna
GPT-6 Luna leads the RankLLMs Index by 0.7 points (51.2 vs 50.5). Verified API Pricing: Free/Open Source (Qwen3.8-Flash-Next) vs $0.10 (GPT-6 Luna) per 1M tokens.
Capability profile
Speed duel
tpsPrice duel
$/1MShorter bar = cheaper. Blended per 1M tokens.
| Metric | Qwen3.8-Flash-Next | GPT-6 Luna |
|---|---|---|
| RankLLMs Overall Score | 50.5 pts | 51.2 pts ▲ |
| Reasoning | 52.4 | 62.0 ▲ |
| Coding | 68.2 | 72.4 ▲ |
| Agentic Tool Use | 42.0 | 42.1 ▲ |
| Code Arena Elo | null | 1350 |
| Inference Speed | 50 tps | 157 tps ▲ |
| API Price (per 1M tokens) | Free/Open Source | $0.10 |
| Context Window | 262K | 1.1M |
| License | Open Source | Proprietary |
| Global Rank | #36 | #34 ▲ |
Decision notes
What the numbers suggest
GPT-6 Luna leads the RankLLMs overall score by 0.7 points. GPT-6 Luna has the lower listed API rate ($0.10 per 1M tokens).
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
- GPT-6 Luna leads
- 50.5 to 51.2 pts
- Coding score
- GPT-6 Luna leads
- 68.2 to 72.4 pts
- Reasoning score
- GPT-6 Luna leads
- 52.4 to 62.0 pts
- Agentic score
- GPT-6 Luna leads
- 42.0 to 42.1 pts
Choose by workload
Which profile fits your use?
Qwen / Alibaba
Consider Qwen3.8-Flash-Next when
you prefer its listed profile or deployment terms. The available scores do not give it a clear lead on the displayed capability measures, so compare it against your own workload before switching.
View Qwen3.8-Flash-Next profileOpenAI
Consider GPT-6 Luna when
your workload gives more weight to the higher listed coding score, the higher listed reasoning score, the higher overall index score, the lower listed API rate. Compare those signals with your own task mix, latency needs, and budget.
View GPT-6 Luna profile