Gemma 3 12B Instruct
GoogleGemma開源權重Gemma · 商用許可
描述
Gemma 3 12B is a 12-billion-parameter vision-language model from Google, handling text and image input and generating text output. It features a 128K context window, multilingual support, and open weights. Suitable for question answering, summarization, reasoning, and image understanding tasks.
發布日期
2025-03-12
參數規模
12.0B
上下文長度
131K
支援模態
image, text
能力雷達圖
21
general
10
coding
31
reasoning
22
science
25
agents
80
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
88.9%自報
Factuality
SimpleQA
6.3%自報
General
Global-MMLU-Lite
69.5%自報
Language
MMLU-Pro
60.6%自報
WMT24++
51.6%自報
ECLeKTic
10.3%自報
Math
GSM8k
94.4%自報
MATH
83.8%自報
MathVista-Mini
62.9%自報
HiddenMath
54.5%自報
Reasoning
BIG-Bench Hard
85.7%自報
HumanEvalOpenAI (2021)
85.4%自報
Natural2Code
80.7%自報
FACTS Grounding
75.8%自報
ChartQAMasry et al. (2022)
75.7%自報
MBPP
0.73 / 100自報
Bird-SQL (dev)
47.9%自報
GPQANYU + Cohere + Anthropic (2023)
40.9%自報
LiveCodeBench
24.6%自報
BIG-Bench Extra Hard
16.3%自報
Vision
DocVQADocVQA (2020)
87.1%自報
AI2D
84.2%自報
VQAv2 (val)
71.6%自報
TextVQA
67.7%自報
InfoVQA
64.9%自報
MMMU (val)
59.6%自報
AA 評測指數
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))85.3
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))59.5
Ifbench(Google Research (2023))36.7
Gpqa(NYU + Cohere + Anthropic (2023))34.9
Aime(MAA (Mathematical Association of America))22.0
Aime 25(MAA (Mathematical Association of America))18.3
Math Index(Artificial Analysis)18.3
Scicode(UIUC + Argonne National Lab (2024))16.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))13.7
Tau2(Sierra + U Toronto + Vector Institute (2025))10.8
Lcr(Artificial Analysis)8.3
Coding Index(Artificial Analysis)5.8
Hle(Center for AI Safety + Scale AI (2025))4.2
Intelligence Index(Artificial Analysis)3.8
Tau Banking0.8
Terminalbench Hard(Stanford × Laude Institute (2026))0.8
Terminalbench V2 10.0
Terminalbench V4 00.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Chat90
Instruction Following90
Structured Output90
Image To Text80
Grounding80
Math70
Multimodal70
Vision70
Legal60
Reasoning60
Finance60
General60
Healthcare60
Code60
Language50
Physics40
Factuality40
Biology40
Chemistry40
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0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
2 個供應商
最便宜: DeepInfra最貴: Neon
供應商輸入輸出
1DeepInfra最便宜
$0
$0
2Neon
$0.15
$0.5
比較該模型在不同 API 供應商之間的定價。