Multiverse Computing
Quasar 438B (Max, Based on GLM-5.2)
ReasoningClosed weights
- Intelligence
- 26.7
- Rank 156 of 748 measured models
- Coding
- 61.2
- Rank 81 of 298 measured models
- Output speed
- 172 t/s
- Rank 69 of 409 measured models
- Price/1M
- $0.90
- Rank 374 of 670 measured models
- Context window
- 1M
- Rank 86 of 1215 measured models
- Cost per task
- $2.02
- Rank 169 of 197 measured models
Quasar 438B (Max, Based on GLM-5.2) scores 26.7 on the Artificial Analysis Intelligence Index, ranking 156th of 748 measured models. The closest models on this index are Agnes 2.5 Pro Alpha (based on Qwen3.5 397B A17B) (26.8), GLM-5-Turbo (26.6), and Solar Pro 4 (26.6). At $0.90 per million tokens (3:1 input/output blended price), it is more expensive than Agnes 2.5 Pro Alpha (based on Qwen3.5 397B A17B) ($0.563) and Solar Pro 4 ($0.525). With an output speed of 172 t/s, it is faster than Agnes 2.5 Pro Alpha (based on Qwen3.5 397B A17B) (160 t/s) and Solar Pro 4 (118 t/s).