Multiverse Computing • text#157 of 704 in intelligence
Data source: Artificial Analysis · ID AA: f9739750-6d42-450f-ba1e-2f76c869b4fe · Snapshot published: 10/27/2026, 3:00:24 PM · Methodology version: 4.3
AA Intelligence Index
26.7
Artificial Analysis · 4.3 · 10/27/2026, 3:00:24 PM
Context Window
—
Input Price/1M
$0.11
#78 of 445
Output Price/1M
$0.33
Parameters
—
Speed
171 tok/s
#40 of 160
Latency (TTFT)
1.3s
Cost per Task
$0.1481
USD / task · lower is better · Artificial Analysis · 4.3 · 10/27/2026, 3:00:24 PM
Artificial Analysis metrics for Quasar 438B (Max, Based on GLM-5.2). Higher is better for capability indexes; lower is better for cost per task.
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Agentic Index | 31.4 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Coding Index | 61.2 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Cost Per Task | 0.1 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
| Benchmark | Score | Maximum | Methodology | Source / version / date |
|---|---|---|---|---|
| AA Intelligence Index | 26.7 | 100.0 | Artificial Analysis official API | Artificial Analysis · 4.3 · 10/27/2026 |
Quasar 438B (Max, Based on GLM-5.2) is an AI model developed by Multiverse Computing, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Multiverse Computing's cloud API.
Quasar 438B (Max, Based on GLM-5.2) is usage-based, priced at $0.11/1M input tokens and $0.33/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Quasar 438B (Max, Based on GLM-5.2) was evaluated on 4 different benchmarks, covering categories like Agentic, Coding, Cost, overall. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Quasar 438B (Max, Based on GLM-5.2) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Quasar 438B (Max, Based on GLM-5.2) competes directly with similarly capable models. Multiverse Computing competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Quasar 438B (Max, Based on GLM-5.2) is an AI model developed by Multiverse Computing. It is a text model.
Quasar 438B (Max, Based on GLM-5.2) costs $0.11/1M input tokens and $0.33/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Quasar 438B (Max, Based on GLM-5.2) scored: AA Agentic Index: 31.4/100, AA Coding Index: 61.2/100, AA Cost Per Task: 0.1481/100. See the full table above for a detailed comparison.
No, Quasar 438B (Max, Based on GLM-5.2) is a proprietary model from Multiverse Computing. It is available via cloud API. For open source alternatives, check our open source model ranking.
Quasar 438B (Max, Based on GLM-5.2) excels at general-purpose language tasks.
Last updated: October 27, 2026 • View methodology →