Post-Cutoff
Search For AI agents

CelerisCurrentLanguage modelReleased 24 Jul 2026

Celeris-1

Celeris-1 is a proprietary diffusion LLM aimed at latency-critical uses (voice agents, coding tools, agent loops) where speed matters more than peak intelligence. Comparable to Inception’s Mercury line.

Model idceleris-1

Price$0.20 in, $0.70 out per 1M tokens

Checked25 October 2026

No published training cutoff

At least1,209events since its release on 24 July 2026

38 historic, 259 major. 93 days of news.

Celeris doesn’t publish a training cutoff, so we count from its release date. The real gap is larger.

Five things it has never heard of

How to call it

Where to use Celeris-1, with its model id.

Providers, model ids, endpoints and docs for Celeris-1
ProviderModel idEndpointDocs
Celeris API (OpenAI-compatible chat completions) celeris-1 https://inference.celeris.ai/celeris-1/v1/chat/completions docs.celeris.ai

Pricing

Prices for Celeris-1
Input$0.20 per 1M tokens
Output$0.70 per 1M tokens

As published: “per 1M tokens (USD, input and output metered separately)”.

Source: celeris.ai, checked 25 October 2026.

Specs

Input
Text
Output
Text
Context window
Not published
Max output
Not published
Open weights
No
Licence
Proprietary
Training cutoff
Not published
Released
24 July 2026
Status
Current
Type
Language model

What stands out

What its maker marketed at launch, and what people found later, each with its source.

  • Diffusion language model built for speed

    Celeris describes it as ‘the world’s fastest language models, powered by diffusion’: it ‘starts with a rough representation of the response and progressively refines it into language’ instead of generating one token at a time.

    Source: celeris.ai

  • #1 output speed on Artificial Analysis

    Found after launch

    Celeris reported 2,038 output tokens/s on Artificial Analysis (Aug 4, 2026 X post, ~2.3M views); RuntimeWire later cited 2,157.9 tok/s and 0.64 s TTFT; AA’s model page showed 1,605 tok/s, #1 of 59, on 2026-10-25. Figures differ by snapshot.

    Source: artificialanalysis.ai

  • 158 ms complete answers

    Vendor benchmark: 75.9% on MMLU-Pro (5-shot CoT) at 158 ms p50 server-reported latency with reasoning budget 0 (up to 81.4% with reasoning enabled, per homepage), vs Inception Mercury 2 at 63.7% / 257 ms.

    Source: celeris.ai

Notes

Made by Celeris (Celeris Labs), led by Marqo co-founders Tom Hamer and Jesse Clark (RuntimeWire, press summaries); company site celeris.ai. Release date 2026-07-24 per Artificial Analysis and launch coverage (BenchLM says Jul 22; not settled). Artificial Analysis (read 2026-10-25, https://artificialanalysis.ai/models/celeris-1): #1 of 59 non-reasoning models on output speed (1,605.4 tok/s, TTFT 0.56 s), Intelligence Index 6 (#58 of 71) — far below frontier models; AA lists $0.20/$0.70 and a ~131k context window, but Celeris’s own docs give no context window or max output, so those fields are left out (one press summary said 8,192). Some third-party listings show older $2/$6 pricing; the Celeris pricing page shows $0.20/$0.70. Image input is listed by AA but not documented by Celeris, so modality_in is text only. Sibling products: Celeris-1 Decision (Oct 8, 2026; decision/scoring model, $0.04 per 1M input, output free) and Celeris-1 Magnus (named in navigation, no details). No timeline entry yet.

curl https://inference.celeris.ai/celeris-1/v1/chat/completions -H "Authorization: Bearer $CELERIS_API_KEY" \
  -H "Content-Type: application/json" -d '{"model":"celeris-1","messages":[{"role":"user","content":"Hi"}],"max_tokens":256}'

Sources: Celeris · Pricing · Docs · Benchmarks blog · Artificial Analysis · RuntimeWire · Celeris on X (Aug 4, 2026)