India releases EKA-1 and Dhīr AI models
India has released three homegrown foundation models: EKA-1, Dhīr 2B and Dhīr 5B. The models were unveiled at a press event in New Delhi.

Key takeaways · 4
- 01
EKA-1 supports all 22 scheduled Indian languages and English; the Dhīr models support English and 10 Indian languages.
- 02
Soket says EKA-1 has 26.3 billion parameters and was trained on approximately 7.5 trillion tokens.
- 03
ZenteiQ lists the Dhīr models under the Apache 2.0 license and says they are downloadable through AIKosh.
- 04
ZenteiQ says Dhīr’s weakest area is fact recall without a supporting source, and recommends authoritative retrieval and human review for finance.
Three models, two developers
The released models are EKA-1, Dhīr 2B and Dhīr 5B.[1] Soket Labs Technology and Research developed EKA-1, while ZenteiQ AiTech Innovations developed the two Dhīr models.[1] Their development was enabled by subsidized access to national AI compute and support for ancillary research expenses.[1] MeitY Secretary S. Krishnan and senior ministry and IndiaAI officials attended the New Delhi launch.[1] Krishnan said indigenous models strengthen India’s technological and strategic autonomy in AI.[1]
Different capabilities and target uses
Soket says EKA-1 has 26.3 billion parameters and was trained on approximately 7.5 trillion tokens.[1] It supports all 22 scheduled Indian languages as well as English, and is described as an open, sparse hybrid language model designed for mathematics, coding, reasoning and agentic use.[1] Soket says it was tailored to India’s banking, financial services and cybersecurity landscape.[1] The Dhīr models support English and 10 Indian languages; ZenteiQ says they support document-grounded automation, knowledge retrieval and citizen or enterprise services.[1] Dhīr 5B has 5.09 billion total parameters, with 1.79 billion active per token, according to ZenteiQ.[3]
Deployment, access and licensing
ZenteiQ says the Dhīr models can be deployed on-premises, work without continuous cloud connectivity and use a lightweight architecture that allows deployment on mobile phones.[2] The company says local use keeps user data on devices, which it says enhances privacy, security and accessibility.[2] ZenteiQ lists both models under the Apache 2.0 license and says they are available to download through AIKosh; enterprise access is offered through licensing and pilot programmes.[3]
Benchmark claims and limitations
ZenteiQ says Dhīr 2B ranked first in its class on 13 of 15 Indic benchmarks, and says both Dhīr models were compared with 24 open models containing 1–7 billion parameters.[3] The company identifies fact recall without a supporting source as the models’ weakest area and recommends authoritative retrieval and human review in fields such as finance.[3] ZenteiQ also says neither Dhīr model has a reasoning mode.[3] IndiaAI COO Sudeep Shrivastava characterized the launch as progress spanning lightweight models for everyday devices and models for complex enterprise applications.[1]
The release gives teams distinct models to evaluate: one aimed at Indian financial and cybersecurity needs, and others positioned for multilingual assistance and offline deployment. For high-stakes workflows, treat the stated capabilities as a starting point for testing; the developer’s own guidance calls for authoritative retrieval and human review in finance.
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For teamsHow this developed
4 November 2026
India releases EKA-1 and Dhīr AI models
Sources
- Press Release:Press Information Bureaupib.gov.in
- IndiaAI Mission Releases 3 Indigenous AI Models Developed banalyticsindiamag.com
- Dhīr 2B and Dhīr 5B MoE | ZenteiQzenteiq.ai
- Early access to EKA-1 | Soket AIsoket.ai