Celeris-1 launches with diffusion inference, 157 ms latency and 76% MMLU-Pro
timshi_ai · x · 2026-07-24
Celeris-1 is launched as a general-purpose language model that claims near-GPT-5-level intelligence with much faster responses.
- The model uses a diffusion-based inference architecture instead of standard autoregressive generation.
- Reported latency: 157 ms p50, about 15× faster than GPT-5-mini and 17× faster than GPT-5.
- Benchmark: 76% on MMLU-Pro, versus 78% for GPT-5-mini and 81% for GPT-5.
- Throughput claim: 1,280 tokens/sec, compared with 144 for Gemini 3.5 Flash-Lite in the poster’s reconstructed test.
The post frames Celeris-1 as a speed-first frontier model and says it is available now.
Related event: Celeris-1 Launches with Diffusion-Based Low-Latency Inference(3 posts)→
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