Elorian Glimpse analysis: OpenRouter price and Hugging Face
Context 262144. Input $0.60 and output $3.00 per million tokens. No official Elorian repo on Hugging Face.
To see whether Elorian Glimpse has an official Hugging Face repo, start from the 2026-10-30 OpenRouter row, then check whether an Elorian author exists.
The query is Elorian Glimpse, and the catalog id is elorian/glimpse. Figures come from that day’s openrouter.ai/api/v1/models and huggingface.co/api/models?search=Glimpse. This page does not add eval scores, latency, or a quality ranking.
OpenRouter catalog on 2026-10-30
| Field | Catalog value |
|---|---|
| OpenRouter id | elorian/glimpse |
| name | Elorian: Glimpse |
| canonical_slug | elorian/glimpse-20261016 |
| created | 1792206629 · 2026-10-17 UTC |
| context_length | 262144 |
| max_completion_tokens | 256000 |
| Input / 1,000,000 tokens | $0.60 |
| Output / 1,000,000 tokens | $3.00 |
| Cache read / 1,000,000 tokens | $0.06 |
| Per-token USD (in / out / cache) | 0.0000006 / 0.000003 / 0.00000006 |
| Input → output | text+image+video → text |
| hugging_face_id | null |
| Endpoint | Together · elorian/glimpse-20261016 |
| quantization | unknown |
| reasoning.mandatory | false |
Turn per-token dollars into per million
prompt, completion, and input_cache_read are dollar strings per token. In decimal, multiply by 1,000,000: 0.0000006 becomes 0.60, 0.000003 becomes 3.00, and 0.00000006 becomes 0.06. Do not multiply the per-million figures again. The cache price belongs only to input_cache_read. The endpoint sets supports_implicit_caching to true. That is a route flag, not a hit rate.
0.0000006 * 1000000 = 0.60
0.000003 * 1000000 = 3.00
0.00000006 * 1000000 = 0.06No official Elorian repo on Hugging Face
The same day, search=Elorian returned 0 models. author=elorian and author=Elorian were both empty arrays. OpenRouter’s hugging_face_id is null. search=Glimpse with limit=50 returned 33 models, and none is owned by Elorian. A direct request to api/models/elorian/glimpse returned an auth error, so that call alone does not prove the repo exists or does not exist. The conclusion rests on the empty author search, the absence of Elorian in the Glimpse search, and the null catalog field.
Same-name repos are not this model
| Hub id | createdAt | Why it is not this model |
|---|---|---|
Skrypt/gemma-2-9b-GLIMPSE | 2024-07-21 | Gemma finetune, 81 downloads |
Skrypt/Qwen2-7B-GLIMPSE | 2024-07-21 | Qwen finetune, 109 downloads |
Skrypt/Llama-3.1-8B-GLIMPSE | 2024-08-02 | Llama finetune, 101 downloads |
llmvision/glimpse-v1 | 2026-04-27 | Other org, 214 downloads, 9 likes |
Glimpse-Dictation/Glimpse-C1-2B | 2026-10-27 | Other org, 272 downloads, text-generation |
Download counts are Hub counters, not evals. GlimpsePrune and AmirEhsan1995/Glimpse also appeared in that Glimpse search, and their authors are not Elorian either. A Glimpse or GLIMPSE name does not make a repo elorian/glimpse.
Read the catalog in this order
- 1
Lock the id
Use elorian/glimpse only. The canonical slug is elorian/glimpse-20261016, and the endpoint provider is Together.
- 2
Convert the price
Multiply the per-token dollar strings by 1,000,000 to get $0.60 input, $3.00 output, and $0.06 cache read.
- 3
Drop same-name repos by author
Search Hugging Face for Elorian and author=elorian. A Glimpse-only search lands on 2024 Gemma, Qwen, and Llama finetunes.
- 4
State the gap
There is no official Elorian repo to check today. Do not add benchmark scores, and do not finish the truncated blurb.
If you only need to put this price table in front of someone else, open a temporary board on oakmeet. The room entrance is create and join. Model calls still go through OpenRouter, not through that room.
Does Hugging Face have an official Elorian Glimpse repo?
Not on the 2026-10-30 author search or search=Elorian. OpenRouter’s hugging_face_id is null as well.
Are Skrypt’s GLIMPSE models the same one?
No. Those three are 2024 Gemma, Qwen, and Llama finetunes, and their ids are not elorian/glimpse.
Where does $0.60 come from?
The catalog input price is $0.0000006 per token. In decimal, times 1,000,000, that is $0.60. Output 0.000003 times the same factor is $3.00.
Does this page include benchmark scores?
No. The payload has no citable score, and this page does not invent scores, latency, or a ranking.