Quasar 438B (max, based on GLM-5.2)
AI model by Multiverse Computing. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Quasar 438B (max, based on GLM-5.2) is a budget-tier option from Multiverse Computing at $1.80/M output tokens. Despite the low price, it scores competitively on Coding Index (61.2) and Intelligence Index (43.0) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, Quasar 438B (max, based on GLM-5.2) reports 193 tok/s output speed and 1050ms time-to-first-token. Output speed is in the normal range — most chat and completion applications will be token-bound, not streaming-bound.
Cost model. For a workload of 1M input tokens + 100K output tokens, Quasar 438B (max, based on GLM-5.2) costs $0.78 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-09-06.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Quasar 438B (max, based on GLM-5.2)Current | $0.60 | $1.80 | 193 tok/s |
| GLM-4.5V (Non-reasoning) | $0.60 | $1.80 | 70 tok/s |
| GLM-4.5V (Reasoning) | $0.60 | $1.80 | 72 tok/s |
| Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) | $0.60 | $1.80 | 52 tok/s |
| DeepSeek V3.1 (Reasoning) | $0.59 | $1.69 | — |
| DeepSeek V3.1 (Non-reasoning) | $0.57 | $1.68 | — |