● Covered by 2 sources · 2 reportsMedium impact1 neutral1 positive
Multiverse Computing Releases Quasar 438B, a New Enterprise AI Reasoning Model
Key points
- Quasar 438B is Multiverse Computing's first large reasoning model.
- It scores 43 on the Artificial Analysis Intelligence Index, highest among European models.
- The model returns 500 tokens in 15.3 seconds, including thinking time.
- Quasar 438B is available via the CompactifAI API.
- Quasar 438B is designed for coding and enterprise agents.
- Quasar 438B scores 69.3 on Terminal-Bench v2.1.
- Quasar 438B has an output speed of 183 tokens per second.
- Multiverse Computing is a Spanish company.
- Quasar 438B outperforms Mistral Medium 3.5 (30) and NVIDIA Nemotron 3 Ultra (38) on the Intelligence Index.
Introduction of Quasar 438B
Multiverse Computing has launched Quasar 438B, a new reasoning model intended for enterprise-scale agents and coding applications. This release marks the company's entry into the large model category, offering capabilities in both English and Spanish.
Performance Benchmarks
Quasar 438B achieved a score of 43 on the Artificial Analysis Intelligence Index v4.1.1, a composite of nine evaluations. This score positions it as the highest-performing European model on the index, surpassing models like Mistral Medium 3.5 (30), NVIDIA Nemotron 3 Ultra (38), and Inkling (42).
In terms of speed, Quasar 438B processes 500 tokens, including thinking time, in 15.3 seconds. This places it among the faster models in its class, with only a few models demonstrating quicker response times, and only one of those also scoring higher on the intelligence index.
Enterprise Focus and Availability
Multiverse Computing developed Quasar 438B to address the need for efficient and deployable AI in the 400B-plus parameter class. The model is designed for multi-step tasks requiring planning, tool use, code execution, and large context, without the typical latency associated with models of this size.
The model is accessible to teams through the CompactifAI API, allowing for testing and integration without requiring extensive infrastructure setup.
Updates
- Quasar 438B is designed for coding and enterprise agents.
- Quasar 438B scores 69.3 on Terminal-Bench v2.1.
- Quasar 438B has an output speed of 183 tokens per second.
- Multiverse Computing is a Spanish company.
- Quasar 438B outperforms Mistral Medium 3.5 (30) and NVIDIA Nemotron 3 Ultra (38) on the Intelligence Index.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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How outlets covered it
Multiverse Computing released Quasar 438B, a large reasoning model for coding and enterprise AI agents, which the company claims is fast enough due to compression technology. The model achieves competitive scores on benchmarks like Artificial Analysis' Intelligence Index and Terminal-Bench v2.1, but specific details on its compression and hardware requirements remain undisclosed.
Multiverse Computing has released Quasar 438B, its first large reasoning model, designed for enterprise agents and coding. The model scores 43 on the Artificial Analysis Intelligence Index, making it the highest-scoring European model, and demonstrates competitive speed for its class.