DeepSeek-R1

Name: DeepSeek-R1
Author: DeepSeek

Catalogue only Open weights

Sovereignty and hosting

Catalogue only

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

Summary

DeepSeek-R1 is the reasoning model that made open-weight chain-of-thought training widely reproducible; it has 671B total and 37B activated parameters and is published under the MIT licence. The model card documents a context length of 128K and reports 90.8 on MMLU, 84.0 on MMLU-Pro and 79.8 on AIME 2024 for R1. It is a text-only model and has been superseded for most tasks by DeepSeek-V3.2 and V4.

Specifications

Provider: DeepSeek (CN)
Context window: 131k
Parameters: 684.49B
Modalities: text
License: mit · licence
Open weights: yes
Release date: 20 Jan 2025
Tasks: reasoning, coding, summarization

Languages

Strong: en, zh

Adequate: de, fr, es, it, pt, ru, ja, ko

Languages

Strong

Adequate

Not verified: the provider has not documented this claim. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

When to use it

Strengths

MIT licence for a 671B-parameter reasoning model
published reasoning traces in the base training recipe
strong maths scores for a January 2025 release

Limits

671B parameters, so self-hosting is expensive
reasoning output is verbose and raises token cost
superseded by DeepSeek-V3.2 and V4-Flash for most workloads

Pricing

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

Verification status

Where a field has no source, the card shows it as unverified instead of filling it in. An empty field is information.

LLM EU Verified means documented, not legally certified. It is not an AI Act conformity assessment and LLM EU is not an EU body.

Versions and variants

catalogue · Catalogue only · weights

Example request

curl https://api.llmeu.com/v1/chat/completions \
  -H "Authorization: Bearer $LLMEU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek-r1","messages":[{"role":"user","content":"Hello"}]}'

No playground is deployed for this model: no endpoint serves it, so a request would have nowhere to go.

Benchmarks

MMLU (Pass@1): 90.8 (vendor-reported) source
MMLU-Pro (EM): 84.0 (vendor-reported) source
GPQA-Diamond (Pass@1): 71.5 (vendor-reported) source
AIME 2024 (Pass@1): 79.8 (vendor-reported) source
LiveCodeBench (Pass@1-COT): 65.9 (vendor-reported) source

Sources

Card changelog

20 Jan 2025 — Release date
19 Sept 2026 — Last reviewed

Last reviewed: 19 Sept 2026

Tasks

Reasoning