Specifications
Context Window
—
Input Price/1M
$0.60
#474 of 744
Output Price/1M
$1.80
Parameters
—
Speed
178 tok/s
#56 of 602
Latency (TTFT)
990ms
Cost per Task
30.1
AA Score / US$ · higher = better
Benchmarks
Quasar 438B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 61.2 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 27.1 | 100.0 | Artificial Analysis official API |
Information
- Release date
- August 10, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Quasar 438B
What is Quasar 438B?
Quasar 438B 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.
Pricing & Costs in 2026
Quasar 438B is usage-based, priced at $0.6/1M input tokens and $1.8/1M 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.
Benchmarks & Performance
Quasar 438B was evaluated on 2 different benchmarks, covering categories like Coding, 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.
Recommended Use Cases
Quasar 438B specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Quasar 438B 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.
Frequently Asked Questions
What is Quasar 438B?
Quasar 438B is an AI model developed by Multiverse Computing. It is a text model.
How much does Quasar 438B cost?
Quasar 438B costs $0.6/1M input tokens and $1.8/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Quasar 438B compare with other models?
In available benchmarks, Quasar 438B scored: AA Coding Index: 61.2/100, AA Intelligence Index: 27.1/100. See the full table above for a detailed comparison.
Is Quasar 438B open source?
No, Quasar 438B is a proprietary model from Multiverse Computing. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Quasar 438B best for?
Quasar 438B excels at general-purpose language tasks.
Last updated: September 12, 2026 • View methodology →