Sarvam Models by Sarvam.ai
2 models2025–2026Up to 128k ctx
Capabilities
Function Calling1 of 2 models
Tool Use1 of 2 models
About
Sarvam is a family of 2 AI models by Sarvam.ai, released between 2025 and 2026.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
2 in view
Sarvam 30BCurrent
Use when the workload needs reasoning, 66k context, and tool use.
2026-03reasoning66k contexttool use
Sarvam-M Multilingual HybridCurrent
Use when the workload needs 128k context and 24B parameters.
2025-06128k context24B parameters
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Sarvam 30B | Use when the workload needs reasoning, 66k context, and tool use. | 2026-03 | reasoning66k contexttool use | Current |
| Sarvam-M Multilingual Hybrid | Use when the workload needs 128k context and 24B parameters. | 2025-06 | 128k context24B parameters | Current |
Release Timeline
2 release groups2026-03
1 current
Sarvam 30B
Currentreasoning66k contexttool use
2025-06
1 current
Sarvam-M Multilingual Hybrid
Current128k context24B parameters
Specifications(2 models)
| Model | Released | Context | Parameters | Fn Calling | Tool Use |
|---|---|---|---|---|---|
| Sarvam 30B | 2026-03 | 66k | 30B (2.4B active) | Yes | Yes |
| Sarvam-M Multilingual Hybrid | 2025-06 | 128k | 24B | No | No |
Available From(1 provider)
Popular comparisons in this family
- 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
- Together AI - Llama 3 8B Lite vs Sarvam-M Multilingual Hybrid10
- Llama 3.1 Swallow 8B Instruct vs Sarvam-M Multilingual Hybrid9
Frequently Asked Questions
- What is Sarvam used for?
- Sarvam is used for reasoning, agent workflows and tool use, and coding. The family description and listed model capabilities point to those workloads as the best fit.
- How does Sarvam compare to Claude 3?
- Sarvam by Sarvam.ai is strongest where you need reasoning, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. Sarvam has 2 listed variants and reaches up to 128k context, while Claude 3 reaches up to 200k context, so compare the specs and pricing tables before choosing a production model.
- Which Sarvam model should I use?
- If price is the main constraint, use the pricing table first because Sarvam does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Sarvam 30B with 66k context and tool use and function calling.