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sarvam · Efficient

Sarvam 105B

Added May 12, 2026

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Use in the app

Sarvam 105B is a 105B parameter chat completion model from Sarvam AI with multilingual support, streaming, tool calling, reasoning controls, and a 128k context window.

  • Reasoning
  • Tools
Input
Text
Output
Text
Reasoning effort
low · medium · high
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.054
Output
$0.21
Cache read
$0.0336

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
4.1K
Average output (7 days)
1.1K tokens
Longer than 74% of 468 models

Side by side

Sarvam 105B compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Sarvam 105BsarvamThis modelAmazon Nova 2 LiteamazonRemove
Providersarvamamazon
Discovery tierEfficientEfficient
AddedMay 12, 2026Jan 1, 2024
Limits
Context window131.07K1MBest
Max output4.1K65.54KBest
Average output1.1K tokens—
Pricing, USD per 1M tokens
Input$0.054Best$0.51
Output$0.21Best$4.25
Cache read$0.0336—
Benchmark indexes
Intelligence Index8.8Best8.7
Math Index—33.7
Capabilities
ReasoningYesNo
ToolsYesNo
Reasoning effortlow, medium, high—

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Sarvam 105B
  • Amazon Nova 2 Lite

Intelligence Index

  • Sarvam 105B8.8
  • Amazon Nova 2 Lite8.7

Sarvam 105B tested at high reasoning effort

Sarvam 105B: Better than 16% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Sarvam 105B: —
    • Amazon Nova 2 Lite: 33.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Sarvam 105B: 0.0%
    • Amazon Nova 2 Lite: 18.7%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Sarvam 105B: 11.0%Top
    • Amazon Nova 2 Lite: 2.9%

  • GPQA Diamond

    Graduate-level science questions

    • Sarvam 105B: 73.8%Top
    • Amazon Nova 2 Lite: 60.3%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Sarvam 105B: —
    • Amazon Nova 2 Lite: 74.3%

  • IFBench

    Following precise output instructions

    • Sarvam 105B: 34.4%
    • Amazon Nova 2 Lite: 40.5%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Sarvam 105B: —
    • Amazon Nova 2 Lite: 34.6%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Sarvam 105B: —
    • Amazon Nova 2 Lite: 33.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Sarvam 105B: 1.5%
    • Amazon Nova 2 Lite: 6.8%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Sarvam 105B: 46.8%
    • Amazon Nova 2 Lite: 62.0%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Sarvam 105B: 0.0%
    • Amazon Nova 2 Lite: 18.7%Top

Scores from Artificial Analysis, updated Oct 26, 2026. Sarvam 105B was tested at high reasoning effort; compare scores measured at the same effort.Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sarvam-105b",
    "reasoning_effort": "medium",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="sarvam-105b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)