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Sarvam: Sarvam 105B (Free)
Sarvam
Feb 18, 2026
sarvam/sarvam-105b:free
Context Length128,000
Input Price-
Output Price-
Max Output
Blended Price-

Sarvam 105B is Sarvam AI's flagship open-source Mixture-of-Experts (MoE) large language model, trained from scratch as India's first competitive 105-billion-parameter model. It delivers strong performance across Indian languages and excels in enterprise-grade applications, with capabilities in multi-step reasoning, mathematics, coding, knowledge retrieval, and instruction-following.

Input Modalitiestext
Output Modalitiestext
Modalitytext->text
Provider Details

sarvam

Input Cost-
Output Cost-
Context Length128,000
Max Output128,000
Latency-
Throughput-
Supported Parameters
Parameter
Core (Sampling & basic generation)
max_tokensMaximum tokens to generate.
nNumber of completions to generate.
seedSeed for deterministic sampling.
stopSequences where generation stops.
temperatureControls randomness of output.
top_pNucleus sampling threshold.
Penalties (Token Penalties)
frequency_penaltyPenalizes frequent tokens.
presence_penaltyPenalizes tokens already present.
Reasoning (Reasoning Controls)
include_reasoningInclude reasoning trace in the response.
reasoningProvider-specific reasoning configuration.

Throughput

Latency

Make Your First API Call

Get started by making your first request to FastRouter. Use your favorite SDK or make direct API calls.

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from openai import OpenAI
client = OpenAI(
base_url="https://api.fastrouter.ai/api/v1", # FastRouter base URL
api_key= "<FASTROUTER_API_KEY>", # Replace with your FastRouter API key
)
completion = client.chat.completions.create(
model="sarvam/sarvam-105b:free", # Replace with your model ID
messages=[
{ "role": "user", "content": "What is the meaning of life?" }
]
)
print(completion.choices[0].message.content)

Before you run this code:

  1. Replace <FASTROUTER_API_KEY> with your actual API key
  2. Install the OpenAI SDK: pip install openai
  3. Run the code, then check your dashboard for analytics
Frequently Asked Questions

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Sarvam: Sarvam 105B
sarvam/sarvam-105b

Sarvam 105B is Sarvam AI's flagship open-source Mixture-of-Experts (MoE) large language model (LLM), trained from scratch as India's first competitive 105-billion-parameter model. It delivers state-of-the-art performance across Indian languages and excels in enterprise-grade applications, with strong capabilities in multi-step reasoning, mathematics, coding, knowledge retrieval, and instruction-following.

Model scores sourced from ArtificialAnalysis