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clefsference

in /1M$0.24input tokens
out /1Mfreeoutput tokens
context66Ktokens
trainingnoon your prompts
api
chat
hosting
EU
model lab
Cloudflare
weights
open
added
October 2026
model id
sference/clef

capabilities 1/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

3 providers serve clef. This page is one of them. Compare all endpoints

pricing

no markup
input
$0.24
output
free
cache write
-
cache read
-

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.0240
1M in + 100K out$0.24
10M in + 1M out$2.40

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Nov 2

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis

no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results

policy

data terms
retention
none
trains on prompts
no
hosted in
EU

Terms are the provider's, not Requesty's: routing a request here puts it under them. sference Privacy Policy

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
sference/clef

this id pins the sference deployment, with no routing and no failover. the managed id on the canonical page routes across all 3 providers instead

main.py
from openai import OpenAI client = OpenAI(    api_key="YOUR_REQUESTY_API_KEY",    base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create(    model="sference/clef",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

Clef is a 27B multimodal decision model that turns a state and a schema of typed questions into decisions. It reads the state as text, JSON, images, or video, and returns a probability for every allowed option of every question.

questions 5

How much does clef cost?
clef is priced at $0.24 per million input tokens and free per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of clef?
clef has a context window of 66K tokens. That is roughly 87 words of input you can fit in a single prompt.
What can clef do?
clef supports vision input. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use clef with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "sference/clef". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run clef through Requesty?
Yes. clef runs through Requesty's OpenAI-compatible API, served from sference. You do not host the model yourself: point base_url at Requesty, set the model to "sference/clef", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

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call clef through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

clefsferencein $0.24 /1Mout free /1Mctx 66Khosted EU3 providers serve this model