AI model matchup
Muse Wonder Full vs GPT-6 Astra
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.
Muse Wonder FullvsGPT-6 Astra
GPT-6 Astra leads the RankLLMs Index by 3.5 points (68.0 vs 64.5). Verified API Pricing: .18 (Muse Wonder Full) vs $10.00 (GPT-6 Astra) per 1M tokens.
Capability profile
Speed duel
tpsPrice duel
$/1MShorter bar = cheaper. Blended per 1M tokens.
| Metric | Muse Wonder Full | GPT-6 Astra |
|---|---|---|
| RankLLMs Overall Score | 64.5 pts | 68.0 pts ▲ |
| Reasoning | 94.5 | 96.0 ▲ |
| Coding | 91.0 ▲ | 90.4 |
| Agentic Tool Use | 92.5 ▲ | 89.5 |
| Code Arena Elo | 1980 | 2250 ▲ |
| Inference Speed | 88 tps ▲ | 73.1 tps |
| API Price (per 1M tokens) | .18 ▲ | $10.00 |
| Context Window | 256K | 1.1M |
| License | Proprietary | Proprietary |
| Global Rank | #4 | #3 ▲ |
Decision notes
What the numbers suggest
GPT-6 Astra leads the RankLLMs overall score by 3.5 points. Muse Wonder Full has the lower listed API rate (.18 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 Astra leads
- 64.5 to 68.0 pts
- Coding score
- Muse Wonder Full leads
- 91.0 to 90.4 pts
- Reasoning score
- GPT-6 Astra leads
- 94.5 to 96.0 pts
- Agentic score
- Muse Wonder Full leads
- 92.5 to 89.5 pts
Choose by workload
Which profile fits your use?
Meta
Consider Muse Wonder Full when
your workload gives more weight to the higher listed coding score, the lower listed API rate. Compare those signals with your own task mix, latency needs, and budget.
View Muse Wonder Full profileOpenAI
Consider GPT-6 Astra when
your workload gives more weight to the higher listed reasoning score, the higher overall index score. Compare those signals with your own task mix, latency needs, and budget.
View GPT-6 Astra profile