Sarvam 30B (high)
SarvamOpen WeightApache 2.0 · Commercial OK
描述
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.
發布日期
2026-03-06
參數規模
30.0B
上下文長度
—
支援模態
—
能力雷達圖
11
general
10
coding
63
reasoning
37
science估算
40
agents
0
multimodal
Science 在缺少專門科學評測時使用推理能力代理估算。
排行榜排名
基準測試分數 (LLM Stats)
Agents
BrowseComp
35.5%自報
Biology
GPQA
66.5%自報
Code
HumanEval
92.1%自報
SWE-Bench Verified
34.0%自報
Creativity
Arena-Hard v2
49.0%自報
Finance
MMLU
85.1%自報
MMLU-Pro
80.0%自報
General
MBPP
0.93 / 100自報
LiveCodeBench v6
70.0%自報
Math
MATH-500
97.0%自報
AIME 2025
96.7%自報
HMMT25
74.2%自報
HMMT 2025
73.3%自報
Beyond AIME
58.3%自報
AA 評測指數
Intelligence Index12.3
Coding Index7.9
Gpqa0.6
Tau20.3
Ifbench0.3
Scicode0.2
Hle0.1
Terminalbench Hard0.0
Lcr0.0
LLM Stats 分類評分
Finance80
Healthcare80
Language80
Legal80
Math80
Biology70
Chemistry70
General70
Physics70
Reasoning70
Code60
Writing50
Creativity50
Agents40
Search40
Frontend Development30
定價
輸入價格免費
輸出價格免費
混合價格(3:1)免費
速度
Tokens/秒168.7 tokens/s
首Token延遲1.23s
首回答延遲13.09s
可用提供商
(LS 內部計價單位)暫無提供商資料