Sarvam.ai
2 models across 1 family · Latest: Sarvam 30B (2026-03)
Multilingual Voice AI for India
Sarvam.ai's portfolio covers 2 active models across 1 current family, spanning agents, long context, and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 3 workload areas across 2 active tracked models; last verified 2026-05-22.
Use it for
- Teams evaluating agents, long context, and json / tool use across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 2 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
2
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
1 open
1 open source / 0 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2026-03-22
Sarvam 30B
Freshness
2026-05-22
Researched 57d ago
Information
Release cadence
Showing 2 recent dated releases (full timeline below). Latest: Sarvam 30B (2026-03-22).
Where this lab wins
- Agentic: 1 tracked model with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 1 tracked model with context-token or InfiniteBench-class signal.
- JSON/tool-use: 1 tracked model with BFCL / Nexus strict-JSON routing coverage.
Flagship quality / price signal
Flagship: Sarvam 30B (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
Sarvam.ai is an Indian AI research organization founded in 2023. Multilingual Voice AI for India. Sarvam.ai ships 1 model family totaling 2 models, with the most recent release Sarvam 30B in 2026-03. Notable families include Sarvam. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts, links. View official API endpoints, benchmark performance, and coding/agent fit for every Sarvam.ai model.
About
Sarvam.ai, a forward-thinking AI research and development company headquartered in Bengaluru, India, stands out in the AI landscape with its strategic focus on the Indian market. Founded in 2023, the company is deeply committed to developing high-performance, enterprise-grade AI systems that cater specifically to India's diverse linguistic and socio-economic fabric. Their mission is not just about implementing AI solutions but about creating impactful tools that resonate with and empower the local population. One of the significant differentiators of Sarvam.ai is its dedication to Indian languages, setting it apart from many global AI players who primarily cater to English or other Western languages. By developing large language models (LLMs) deeply rooted in the Indian linguistic and cultural contexts, Sarvam.ai ensures its technology is accessible and relevant to a broad spectrum of India's population. This approach has led to the creation of models tailored to tackle the unique challenges posed by the multitude of dialects and languages spoken across India. Sarvam.ai's commitment is not confined to language processing alone. The company is at the forefront of building large-scale Indic language models and bespoke enterprise solutions. Through their full-stack generative AI platform, businesses can design and implement cutting-edge AI applications that meet their specific needs across various sectors, including healthcare, legal, education, and e-commerce. By leveraging innovative technologies such as NVIDIA, the company's flagship models like Sarvam 1—a multilingual LLM—support up to ten Indian languages, demonstrating their prowess in delivering technical solutions at scale. Beyond technical innovation, Sarvam.ai's ethos is deeply rooted in collaboration and transparency. The company actively contributes to open-source projects, enriching the AI ecosystem with their initiatives like OpenHathi and Samvaad. These projects not only showcase their technical capabilities but also their commitment to creating a more equitable AI landscape in India. Through extensive data curation and sharing efforts, they lay the groundwork for a more inclusive AI environment, encouraging community-driven innovation. In essence, Sarvam.ai's dedication to enhancing AI solutions within India's unique cultural and linguistic landscape, alongside their open-source collaborations and cutting-edge model developments, underscores their pivotal role in the advancement of AI technology that not only innovates but also promotes inclusion and empowerment throughout the country.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Sarvam 30B | 2026-03-22 | 66k | - | - | Apache 2.0 | Open source |
| Sarvam-M Multilingual Hybrid | 2025-06-01 | 128k | - | - | Proprietary | Proprietary |
Model families
Recent releases
- Sarvam 30B- 2026-03-22
- Sarvam-M Multilingual Hybrid- 2025-06-01
Top comparisons
- Llama 2 7B vs Sarvam-M Multilingual Hybrid25
- Claude Instant vs Sarvam 30B23
- Mistral Small 3 vs Sarvam-M Multilingual Hybrid20
- Hunyuan Hy3 Preview vs Sarvam-M Multilingual Hybrid16
- Claude Instant vs Sarvam-M Multilingual Hybrid13
- Mistral Large 3 675B Instruct vs Sarvam-M Multilingual Hybrid11
- Mistral 7B v0.1 vs Sarvam-M Multilingual Hybrid10
- GPT-4 Turbo vs Sarvam 30B10
FAQ
Who founded Sarvam.ai and when?
Sarvam.ai was founded in 2023 and is associated with Bengaluru, India.
What models has Sarvam.ai released?
Sarvam.ai ships 2 models across 1 family: Sarvam.
Is Sarvam.ai's technology open source?
Some Sarvam.ai models are open-weight (Sarvam 30B); others are proprietary (Sarvam-M Multilingual Hybrid).
Where is Sarvam.ai headquartered?
Sarvam.ai is headquartered in Bengaluru, India.
What is Sarvam.ai known for?
Multilingual Voice AI for India. Its most prominent tracked family is Sarvam.
How can I access Sarvam.ai's models?
Sarvam.ai's models are available via NVIDIA NIM.
Explore related pages
Last reviewed: 2026-05-22. Data sourced from public lab announcements and provider documentation.