AI model matchup
GPT-5.6 Sol vs Muse Spark 1.3
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 SolvsMuse Spark 1.3
Muse Spark 1.3 leads the RankLLMs Index by 0.2 points (57.4 vs 57.2). Verified API Pricing: $4.00 (GPT-5.6 Sol) vs $1.25 (Muse Spark 1.3) per 1M tokens.
Capability profile
Speed duel
tpsPrice duel
$/1MShorter bar = cheaper. Blended per 1M tokens.
| Metric | GPT-5.6 Sol | Muse Spark 1.3 |
|---|---|---|
| RankLLMs Overall Score | 57.2 pts | 57.4 pts ▲ |
| Reasoning | 65.5 ▲ | 63.5 |
| Coding | 81.2 ▲ | 75.4 |
| Agentic Tool Use | 58.5 | 66.9 ▲ |
| Code Arena Elo | 1730 | 1754 ▲ |
| Inference Speed | 89 tps | 221 tps ▲ |
| API Price (per 1M tokens) | $4.00 | $1.25 ▲ |
| Context Window | 1.1M | 1M |
| License | Proprietary | Proprietary |
| Global Rank | #9 | #8 ▲ |
Decision notes
What the numbers suggest
Muse Spark 1.3 leads the RankLLMs overall score by 0.2 points. Muse Spark 1.3 has the lower listed API rate ($1.25 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
- Muse Spark 1.3 leads
- 57.2 to 57.4 pts
- Coding score
- GPT-5.6 Sol leads
- 81.2 to 75.4 pts
- Reasoning score
- GPT-5.6 Sol leads
- 65.5 to 63.5 pts
- Agentic score
- Muse Spark 1.3 leads
- 58.5 to 66.9 pts
Choose by workload
Which profile fits your use?
OpenAI
Consider GPT-5.6 Sol 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 Sol profileMeta
Consider Muse Spark 1.3 when
your workload gives more weight to the higher overall index score, the lower listed API rate. Compare those signals with your own task mix, latency needs, and budget.
View Muse Spark 1.3 profile