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Sarvam 30B (high)

SarvamOpen WeightApache 2.0 · Commercial OK

Description

Sarvam-30B is an open-source 30B-parameter Mixture-of-Experts reasoning model from Sarvam AI trained from scratch and optimized for Indian languages, coding, and conversational workloads. It uses 128 sparse experts with 2.4B active parameters per token, Grouped Query Attention, and was pre-trained on 16 trillion tokens spanning code, mathematics, multilingual, and web data.

Release Date
2026-03-06
Parameters
30.0B
Context Length
66K
Modalities
text

Capability Radar

7
general
60
coding
63
reasoning
46
science
40
agents
0
multimodal

Rankings

Domain#RankScoreSource
Code Ranking638
2.0
AA
General Ranking604
17.0
AA
Science408
37.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

General

MMLU85.1%SR
Arena-Hard v249.0%SR

Language

MMLU-Pro80.0%SR

Math

MATH-50097.0%SR
AIME 202596.7%SR
HMMT2574.2%SR
HMMT 202573.3%SR
Beyond AIME58.3%SR

Reasoning

MBPP0.93 / 100SR
HumanEvalOpenAI (2021)92.1%SR
LiveCodeBench v670.0%SR
GPQANYU + Cohere + Anthropic (2023)66.5%SR
BrowseCompOpenAI (2025)35.5%SR
SWE-Bench Verified34.0%SR

AA Evaluation Indices

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
63.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
34.5
Ifbench(Google Research (2023))
26.5
Hle(Center for AI Safety + Scale AI (2025))
7.5
Intelligence Index(Artificial Analysis)
6.6
Terminalbench Hard(Stanford × Laude Institute (2026))
2.3
Lcr(Artificial Analysis)
0.0

LLM Stats Category Scores

(LLM Stats (zeroeval))
Language
80
Legal
80
Math
80
Finance
80
Healthcare
80
Physics
70
Reasoning
70
General
70
Biology
70
Chemistry
70
Code
60
Creativity
50
Writing
50
Search
40
Agents
40
Frontend Development
30

Pricing

Input Price$0.026 / 1M tokens
Output Price$0.11 / 1M tokens
Blended Price (3:1)$0.047 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

1 providers

ProviderInputOutput
1SarvamPRIMARY
$0.026
$0.11

Compare pricing across different API providers for this model.

External Sources