Celeris-1: A diffusion LLM benchmarked at 2,082 output tokens/s
It's also notably fast, however somewhat verbose. The model supports text and image input, outputs text, and has a 131k tokens context window.Celeris-1 scores 12 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (median: 11). See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.Open WeightsIndicates whether the model weights are available.
- ▪It's also notably fast, however somewhat verbose.
- ▪The model supports text and image input, outputs text, and has a 131k tokens context window.Celeris-1 scores 12 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (median: 11).
- ▪See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.Open WeightsIndicates whether the model weights are available.
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| Original publisher | Artificialanalysis |
| Canonical URL | https://artificialanalysis.ai/models/celeris-1 |
| Publication time | Wed, 05 Aug 2026 14:54:58 +0000 |
| Retrieval time | 2026-08-05T15:15:44.720Z |
| Last seen | 2026-08-05T15:15:44.720Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | IOb8mci7hFdq · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Artificial AnalysisKArtificial AnalysisModelsCoding AgentsSpeech, Image, VideoInferenceLeaderboardsAboutAI TrendsArenasKCeleris•Proprietary model•Released July 2026Celeris-1 Intelligence, Performance & Price AnalysisCompareAPI Provider Benchmarks Model summaryIntelligence#40 / 8012Artificial Analysis Intelligence Index3 out of 4 units for Intelligence.Speed#1 / 802,082.6Output tokens per second4 out of 4 units for Speed.Input Price#25 / 80$0.20USD per 1M tokens2 out of 4 units for Input Price.Output Price#35 / 80$0.70USD per 1M tokens2 out of 4 units for Output Price.Verbosity#15 / 8014MOutput tokens from Intelligence Index3 out of 4 units for Verbosity.Comparison SummaryCeleris-1 is above average in intelligence and reasonably priced when comparing to other non-reasoning models of…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Artificialanalysis.
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