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Celeris-1

Celeris · 2026-07-27

Celeris-1 is Celeris's debut diffusion-based language model, announced July 27, 2026. It generates and refines whole responses in parallel rather than token-by-token, targeting real-time and short structured agentic calls (classification, routing, extraction, judging) at roughly 1,664 tokens per second with sub-200ms median response times, and is served exclusively through the Celeris API. It accepts text and images, returns text or structured tool calls, and supports opt-in reasoning through chat_template_kwargs.enable_thinking.

Benchmark scores

BenchmarkScore
AA-Briefcase Elo172
AA-Briefcase v1.1 Elo152
AA-LCR27.0
AA-LCR v1.138.0
AA-Omniscience Index-71.6
Artificial Analysis Agentic Index2.8
Artificial Analysis Coding Index14.4
Artificial Analysis Intelligence Index11.8
Artificial Analysis Intelligence Index v4.36.3
Artificial Analysis Intelligence Index v4.3.26.3
Artificial Analysis Omniscience Accuracy11.0
Artificial Analysis Omniscience Hallucination Rate92.8
Artificial Analysis Progress Index v1195
AutomationBench-AA 1.0.60.4
Capability129.9
CritPt (avg@5)0.0
GDP.pdf (Artificial Analysis, All-pass)1.2
GDP.pdf (Artificial Analysis, Mean Criteria)41.2
GDPval-AA v2483
GDPval-AA v2 (normalized)1.7
GDPval-AA v2.1310
GPQA Diamond (Artificial Analysis avg@5)63.1
Humanity's Last Exam (Text-Only)6.8
Humanity's Last Exam Diamond5.7
MMLU Pro78.0
ObviousBench53.5
SciCode (Artificial Analysis avg@3)20.7
SciCode 1.0.1 (Artificial Analysis)21.6
Terminal-Bench 2.111.2
Terminal-Bench 4.0 (Artificial Analysis)0.0
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