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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).

Artificial Analysis Indices
Intelligence26.7
Rank 156 of 748 measured models
Coding61.2
Rank 81 of 298 measured models
Agentic31.4
Rank 67 of 190 measured models
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Finance & Accounting24.2
Rank 143 of 223 measured models
Strategy & Ops24.2
Rank 133 of 223 measured models
Legal26.5
Rank 141 of 223 measured models
Engineering29.2
Rank 120 of 222 measured models
Economics35.1
Rank 136 of 230 measured models
Standard Benchmarks
GPQA Diamond73.2%
Rank 293 of 620 measured models
HLE18.7%
Rank 236 of 668 measured models
SciCode48.1%
Rank 126 of 235 measured models
AA-LCR76.3%
Rank 146 of 579 measured models
Terminal-Bench 2.169.3%
Rank 79 of 245 measured models
Terminal-Bench v41.0%
Rank 126 of 222 measured models
τ-Bench Banking28.7%
Rank 75 of 211 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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