Celeris launches Celeris-1-decision model for typed decisions
The new diffusion language model achieves 80% accuracy on benchmarks, offering 60% higher speed and lower costs compared to competitors like Jev and OpenAI.
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AI research lab building ultra-low-latency language models
celeris.aiLast updated
In short: Celeris launched its Celeris-1 diffusion language models, claiming industry-leading speed and accuracy across benchmarks.
The new diffusion language model achieves 80% accuracy on benchmarks, offering 60% higher speed and lower costs compared to competitors like Jev and OpenAI.
It uses diffusion inference for near-GPT-5 intelligence at 15x faster speeds
On a standardized workload, it generated 1,664 tokens per second, 5.1 times faster than the next fastest API.
Celeris-1 delivers 1,596 tok/s, 8% faster than Cerebras and 3.5x faster than Groq in end-to-end benchmarks.
Availability & Access Celeris-1 is now available through Celeris' OpenAI-compatible API. Developers can integrate Celeris-1 into existing workflows by updating their API base URL and...
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