Full opportunity report: ALIA. The Spanish answer. on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
Spain’s ALIA-40B, a publicly funded multilingual AI model, has been released, demonstrating significant operational capabilities but falling short of leading benchmarks. The project underscores strategic positioning debates within European AI efforts.
Spain’s government announced the release of ALIA-40B, a 40-billion-parameter multilingual AI model trained on 9.37 trillion tokens, marking Europe’s largest publicly funded national AI initiative. The project aims to position Spain as a leader in multilingual AI, with a focus on Spanish-language adoption and open-source transparency.
The ALIA project, coordinated by the Barcelona Supercomputing Center (BSC-CNS) and led by the Secretary of State for Digitalisation and Artificial Intelligence (SEDIA), received over €240 million in public funding. The model was trained on MareNostrum 5’s 4,480 NVIDIA H100 GPU partition, covering 35 European languages and 92 programming languages. Released under Apache License 2.0 on HuggingFace on April 22, 2025, ALIA-40B aims to serve as Spain’s institutional answer to European sovereignty questions in AI.
Benchmark results indicate that ALIA-40B performs below leading models like Llama 2—achieving 51.77% on XNLI_en versus Llama 2’s 66%, and 81.53% on SQuAD_en compared to Llama 2’s 93-94%. These results confirm a structural capability gap, aligning with prior analyses suggesting that larger, more resource-intensive projects at this scale may not achieve top-tier performance. Despite this, project leadership emphasizes Spanish-language and co-official language coverage, framing ALIA as a strategic positioning effort rather than a performance race.
ALIA · The Spanish Answer.
EU Sovereign AI · Tier 2 Expansion · May 2026
ALIA.
The Spanish
answer.
€240M+ Spanish public funding · ALIA-40B + Salamandra family · 9.37T tokens · 35 European languages + 92 programming languages · MareNostrum 5 · Apache 2.0 release. The largest publicly funded European national-AI project by cumulative scope — and the empirical test case for the Position 1 vs Position 3 strategic-positioning argument.
This is the tenth standalone essay in the European sovereign-LLM track and the third Tier 2 expansion piece. ALIA is Spain’s institutional answer — the largest EU member state by GDP not yet documented in the track. The project markets itself as Position 1 + Position 2 simultaneously — “Europe’s first public multilingual foundational model.” The benchmark evidence (ALIA-40B 51.77% XNLI_en vs Llama 2 66%) confirms the structural capability gap from Finding 1 of the synthesis essay. The Position 3 framing — Martorell’s “most widely adopted in the Spanish-speaking world” — is operationally honest. €90M MareNostrum 5 upgrade + €150M company integration = €240M+ cumulative scope. Apache 2.0 open-source release + AESIA validation + co-official languages oversampling. Both can be true at once. The Spanish public discourse would benefit from explicit Position 3 strategic positioning.
● SALAMANDRA-7B 12.875 TRILLION TOKENS FROM SCRATCH · FIRST MARENOSTRUM 5 LLM · BSC-CNS
● APACHE 2.0 APRIL 22, 2025 HISPANIA 2040 RELEASE · PUBLIC CODE PUBLIC MONEY · AESIA VALIDATED
● CO-OFFICIAL LANGUAGES CASTILIAN · CATALAN/VALENCIAN · BASQUE · GALICIAN · 2× OVERSAMPLED
● BENCHMARK GAP 51.77% XNLI_EN VS LLAMA 2 66% · 81.53% SQUAD_EN VS LLAMA 2 93-94%
● PEDRO SÁNCHEZ LAUNCH ANNOUNCEMENT JAN 21 2025 · €240M+ AI STRATEGY 2024 INVESTMENT
Six models. Apache 2.0.
The ALIA family operates as a tiered model portfolio. ALIA-40B is the flagship at 40 billion parameters; the Salamandra family scales down to 7B, 2B and instruct-tuned variants; mRoBERTa provides the foundational multilingual baseline. All released under Apache License 2.0 on April 22, 2025 at the HispanIA 2040 event — “Public Code, Public Money” approach.
multilingual
MN5 LLM
edge
target
instruct
encoder
Four official. Oversampled by factor of 2.
ALIA’s distinctive multilingual coverage strategy. The four co-official Spanish languages are oversampled by factor of 2 in the training corpus — structurally distinct from Apertus’s broad 1,811-language coverage approach. The strategy targets deep coverage of Spanish co-official languages rather than maximum language breadth.
ALIA-40B vs Llama 2. 14-point gap.
The empirical evidence Finding 1 of the synthesis essay needed. ALIA-40B at 40 billion parameters with €240M+ public funding and 8+ months MareNostrum 5 training achieves performance below Llama 2 — a 2023 frontier model released approximately 18 months before ALIA-40B. The capability gap is real and consistent with six of seven prior national-project answers documented in the track.
— Josep M. Martorell, BSC Associate Director · Oxford Insights interview · April 2025
Two pilots. Public administration deployment.
The operational deployment targets that validate the Position 3 + Position 4 framing. Public administration deployment is the structurally credible Position 3 + Position 4 strategic positioning — captive demand from Spanish public institutions where Spanish-language specialization is operationally distinctive.
The work is real across the Spanish ALIA case. €240M+ public funding committed. 40B parameter from-scratch model trained on 9.37 trillion tokens. Salamandra family released under Apache 2.0. AESIA validation aligned with EU AI Act transparency standards. Two pilot applications shipped — Tax Agency chatbot and primary care medicine heart failure diagnosis. The Position 1 framing is operationally misleading. ALIA-40B performance below Llama 2 confirms the structural capability gap. The Position 3 framing is operationally honest — Spanish-speaking world adoption, co-official languages oversampling, public administration deployment. Both can be true at once. The Spanish public discourse would benefit from explicit Position 3 strategic positioning.
Source dossier · the ALIA operational receipts
AMÁLIA · The Three Hard Questions · Standalone Essay 01 · Portuguese national continuation · structural pattern parallel
Minerva · The Opposite Path · Standalone Essay 02 · Italian national from-scratch
OpenEuroLLM · The Third Path · Standalone Essay 03 · pan-European consortium
Mistral · The Fourth Path · Standalone Essay 04 · commercial-frontier
Aleph Alpha · The Retrospective Case · Standalone Essay 05 · enterprise-sovereignty pivot
Apertus · The Architectural Template · Standalone Essay 06 · federal-research-institution
Portfolio · The Synthesis · Standalone Essay 07 · seven findings + five recommendations
EuroHPC · The Compute Substrate · Standalone Essay 08 · compute substrate analysis
Anchor · The Schwarz Group Model · Standalone Essay 09 · industrial-anchor interrogation
This piece · Standalone Essay 10 · ALIA · The Spanish answer · Position 1 vs Position 3 interrogation
BSC-CNS · ALIA Europe’s first public open multilingual AI infrastructure · ALIA-40B launch · MareNostrum 5 training
BSC-CNS · Spanish government strengthens MareNostrum 5 · €90M MareNostrum 5 upgrade · 450 PFLOPS · 20% industry capacity
HuggingFace · BSC-LT ALIA-40b model card · 9.37T tokens · 35 European languages · 92 programming languages · OSCAR/CATalog contribution
Interoperable Europe · Spanish authorities release ALIA AI models · Apache 2.0 · pilot applications · Tax Agency + primary care medicine
HPCwire · ALIA Project Taps MareNostrum 5 · Sánchez announcement · technological sovereignty
Science|Business · BSC ALIA · launch coverage · Catalan Minister Núria Montserrat quote
CLARIN ERIC · LLMs for Spain’s Official Languages · Salamandra first MareNostrum 5 LLM · Latxa Basque baseline
Oxford Insights · From policy to practice · ALIA · Martorell interview · “Spanish-speaking world” quote
arXiv 2502.08489 · Salamandra Technical Report · Gonzalez-Agirre et al. · technical specifications · architecture
NVIDIA Developer · EMEA AI Model Builders · ALIA collection · NVIDIA AI inference platform integration
Sifted · Spain to develop open-source LLM · Albert Cañigueral interview · AINA + ILENIA foundational projects
Silicon · This is ALIA · Bara of Tokiota benchmark critique · 51.77% XNLI vs Llama 2 66% · training data distribution
arXiv 2503.10192 · Red Teaming ALIA Salamandra · 670 conversations · Salamandra 50.6% biased/unsafe vs o3-mini 29.5%
Alejandro Cantero · ALIA technological sovereignty · €150M company integration · 9.2T tokens · cultural nuance training
Pedro Sánchez · President of the Spanish Government · launch announcement January 21, 2025
Mateo Valero · BSC-CNS Director · “qualitative leap” framing
Josep M. Martorell · BSC-CNS Associate Director · “most widely adopted in Spanish-speaking world” strategic framing
Marta Villegas · BSC ALIA technical lead
Núria Montserrat · Catalan Minister for Research and Universities · “decisive step towards Europe’s technological sovereignty”
ALIA total Spanish public funding: €240M+ · €90M MareNostrum 5 upgrade + €150M company integration
ALIA-40B: 40 billion parameters · 9.37 trillion tokens · 35 European languages + 92 programming languages
Salamandra-7B + Salamandra-2B: 12.875 trillion tokens training corpus
Salamandra instruction tuning: 276,000 instructions in English, Spanish, Catalan
Training corpus memory footprint: 33 terabytes (~17 million books equivalent)
ALIA-40B training duration: 8+ months on MareNostrum 5
MareNostrum 5 accelerated partition: 1,120 nodes × 4 NVIDIA H100 = 4,480 H100 GPUs
MareNostrum 5 AI upgrade: signed January 2026 · FSAS Technologies + Telefonica consortium · early 2026 installation
Apache License 2.0 release: April 22, 2025 · HispanIA 2040 event
AESIA validation: Spanish AI Supervisory Agency · aligned with EU AI Act transparency
Co-official languages oversampled: Castilian Spanish · Catalan/Valencian · Basque (Euskera) · Galician · 2× factor
Team scale: 50 experts in language technologies (BSC Language Technologies group)
ALIA-40B benchmark XNLI_en: 51.77% (vs Llama 2: 66%)
ALIA-40B benchmark SQuAD_en: 81.53% (vs Llama 2: 93-94%)
Salamandra red-teaming biased/unsafe responses: 50.6% (vs o3-mini: 29.5%)
Training data Spanish share: 16.12% (vs English: 39.31%)
Pilot applications: Spanish Tax Agency (Agencia Tributaria) chatbot + primary care medicine heart failure diagnosis
Originating projects: AINA (Catalan, 2020+) · ILENIA (Spanish + co-official languages, 2021+) · Language Technologies Plan (2019+)
Colophon · Standalone Essay 10 · Tier 2 Expansion
Set in Source Serif 4 (display), EB Garamond (essay body), IBM Plex Sans & IBM Plex Mono. Standalone essay register · not part of the security franchise. The Spanish national-continuation pattern interrogation extending the synthesis essay’s Position 1 vs Position 3 strategic-positioning argument with empirical operational analysis. Capital-violet dominant register with all six chromatic registers integrated into the multilingual coverage visualization — Castilian violet · Catalan engineering-blue · Basque terminal-green · Galician window-amber · the broader 35 European languages in synthesis-deep · the Position 1 attempt critique in takeoff-orange. Free to embed with attribution.
thorstenmeyerai.com
Standalone essay 10 · European sovereign AI · The Spanish ALIA answer · May 2026
€240M+ · ALIA-40B · 9.37T TOKENS · 35 LANGUAGES · 4 CO-OFFICIAL · APACHE 2.0 · POSITION 3
Implications of ALIA-40B for European AI Sovereignty
ALIA-40B exemplifies a strategic approach to AI development focused on multilingual coverage and national sovereignty, rather than solely on performance benchmarks. The project demonstrates how public funding can prioritize language inclusivity and transparency, aligning with Spain’s broader digital sovereignty goals. The model’s operational results highlight the challenges of scaling large models within public budgets, emphasizing the importance of strategic positioning over raw performance. This development influences European AI policy debates, especially regarding the balance between ambition and practical capabilities in national projects.
Spain’s Strategic Position in European AI Initiatives
Spain’s ALIA project is part of a broader European effort to develop sovereign AI capabilities, with previous national projects in Portugal, Italy, France, Germany, and Switzerland. Unlike some projects aiming for top-tier performance, ALIA emphasizes multilingual support, open-source transparency, and co-official language coverage. The project was publicly launched in January 2025, with €90 million allocated for infrastructure upgrades and €150 million dedicated to integrating ALIA into industry applications. This effort is coordinated by national research centers and government agencies, reflecting Spain’s strategic intent to foster digital sovereignty and multilingual AI adoption.
“The goal is not to be the best-performing LLM in the world, but the most widely adopted in the Spanish-speaking world.”
— Josep M. Martorell, ALIA project lead
Operational Capabilities vs. Performance Benchmarks
While ALIA-40B has been officially released and benchmarks confirm a structural capability gap, it remains unclear how the model will perform in real-world applications and industry deployments. The extent to which ALIA can close the performance gap with leading models like Llama 2 in practical settings is still to be observed. Additionally, the long-term impact of its multilingual focus on adoption and integration is yet to be assessed.
Next Steps for ALIA and European AI Strategy
Further operational testing and industry deployment of ALIA-40B are expected over the coming months, with a focus on evaluating its practical usability and multilingual capabilities. The project team may pursue incremental improvements or additional training to enhance performance. Simultaneously, policymakers and industry stakeholders will analyze ALIA’s strategic positioning and its role within Europe’s broader sovereignty efforts.
Key Questions
What are the main goals of Spain’s ALIA project?
ALIA aims to develop a multilingual, open-source AI model focused on Spanish-language adoption and digital sovereignty, rather than achieving top benchmark performance.
How does ALIA-40B compare to other large models like Llama 2?
Benchmark results show ALIA-40B performs below Llama 2, with a significant structural capability gap, but it emphasizes multilingual coverage and transparency.
What is the strategic significance of ALIA for Europe?
It demonstrates a national approach prioritizing language inclusivity and sovereignty, influencing European AI policy debates around performance versus strategic coverage.
Will ALIA be used in industry applications?
Public funding and project plans suggest increasing industry integration, but practical deployment outcomes are still forthcoming.
What are the future plans for ALIA development?
Further testing, potential model improvements, and assessment of real-world use cases are expected in the coming months.
Source: ThorstenMeyerAI.com