EuroLLM 22B Instruct 2512

Utter Project·utter-project/EuroLLM-22B-Instruct-2512

EuroLLM 22B Instruct 2512 is a language model published by Utter Project. The latest OpenRouter endpoint refresh was unavailable, so no current serving claim is made. It accepts text input and returns text.

ModelCap Index · Current board

—

Not scored · 0% support · score interval not available

Market Gravity

7.1

Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input

$0.10

per 1M tokens

Output

$0.20

per 1M tokens

Context

—

tokens

Providers

endpoints

Gateway spend

—

latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

Provider	Input	Output	Context	TTFT	Throughput	Features
publicai live	$0.10	$0.20	—	2311 ms	2.8 tok/s	—

ModelCap Index · Current board

Methodology

—

Not scored · insufficient publisher diversity

Public rank basis: Not scored (abstained)
Index support: 0.0% · not applicable
Index interval: Not available
Rank posterior: Not available
Top 5 / Top 10 probability: Not available / Not available
Posterior as of: Snapshot timestamp unavailable
Identity binding: Exact catalogue product · utter-project/utter-project/EuroLLM-22B-Instruct-2512 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata utter-project/EuroLLM-22B-Instruct-2512@8c6ed5c8d18527d9daed994f645032b86c53f0bb (not the evaluation revision)
Direct benchmark observations: 0
Architecture fallback: abstained · 100% coverage · 5 anchors

Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability: —
Evidence status: No admitted measured evidence
General preference: —
Coding: —
Agents & tools: —
Reasoning: —
Evidence breadth: 0%
Evidence coverage: 0%

Market and catalogue signals · secondary, never the language Index rank

Usage (OpenRouter popularity): —
Liquidity (providers × uptime): —
Open reach (HF downloads): 34.1
Surface (context / tools / modalities): 0.0
Freshness: 39.2

· HF 30d downloads 8263
· Catalogue surface
· First seen 2025-12-05

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy

43.2

25.6–60.8 uncertainty interval

Excluded from rank

Confidence: 66%
Training support: 156 models · 94 lineages
Out-of-domain check: in domain
Feature coverage: 71%
Lineage-held-out error: 9.1 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index

59.9

partial · 70% metadata coverage

Not capability

Artifact reproducibility: 100.0
Access & legal clarity: 100.0
Deployability: 33.0
Evaluation provenance: 0.0

Missing: deployability.measured-provider-uptime, deployability.declared-capacity, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage

Market Gravity: 7.1
OpenRouter weekly popularity: Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Awaiting evaluation

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%: 0.0
Liquidity25%: 0.0
Open reach15%: 34.1
Freshness5%: 39.2

Specification

Context window: — tokens
Max output: —
Inputs: Text
Outputs: Text
Tokenizer: —
Cached input tokens: Not offered
First seen on OpenRouter: 5 Dec 2025

Capabilities

Not supported: Reasoning
Not supported: Tool use
Not supported: Structured output
Not supported: Response format
Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access: Open weights
Licence: apache-2.0
Pinned revision: 8c6ed5c8d185
Parameters: 22.6B
Architecture: LlamaForCausalLM
Model type: llama
Hugging Face downloads (30d): 8K
Downloads (all time): 194K
Likes: 75
Repository: utter-project/EuroLLM-22B-Instruct-2512
Repository updated: 31 Jul 2026, 17:18 UTC
Base lineage: utter-project/EuroLLM-22B-2512