Gemma 3 27B Instruct
GoogleGemmaOpen WeightGemma · Usage Commercial
Description
Gemma 3 27B is a 27-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 complex question answering, summarization, reasoning, and image understanding tasks.
Date de sortie
2025-03-12
Paramètres
27.0B
Longueur du contexte
262K
Modalités
image, text
Radar de capacités
25
general
12
coding
34
reasoning
28
science
27
agents
70
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 495 | 11.0 | AA |
| Classement général | 464 | 26.0 | AA |
| Classement multimodal | 54 | 44.0 | LS |
| Science | 461 | 27.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
42.4%Aut.
Code
HumanEvalOpenAI (2021)
87.8%Aut.
LiveCodeBench
29.7%Aut.
Factuality
FACTS Grounding
74.9%Aut.
SimpleQA
10.0%Aut.
Finance
MMLU-Pro
67.5%Aut.
General
IFEvalGoogle Research (2023)
90.4%Aut.
Natural2Code
84.5%Aut.
Global-MMLU-Lite
75.1%Aut.
MBPP
0.74 / 100Aut.
MMMU (val)
64.9%Aut.
BIG-Bench Extra Hard
19.3%Aut.
MRCR v2 (8-needle)
13.5%Aut.
Image To Text
DocVQADocVQA (2020)
86.6%Aut.
VQAv2 (val)
71.0%Aut.
TextVQA
65.1%Aut.
Language
BIG-Bench Hard
87.6%Aut.
WMT24++
53.4%Aut.
ECLeKTic
16.7%Aut.
Math
GSM8k
95.9%Aut.
MATH
89.0%Aut.
MathVista-Mini
67.6%Aut.
HiddenMath
60.3%Aut.
Multimodal
AI2D
84.5%Aut.
ChartQAMasry et al. (2022)
78.0%Aut.
InfoVQA
70.6%Aut.
Reasoning
Bird-SQL (dev)
54.4%Aut.
Indices d'évaluation AA
(Artificial Analysis)Math Index(Artificial Analysis)20.7
Coding Index(Artificial Analysis)10.1
Intelligence Index(Artificial Analysis)7.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.4
Ifbench(Google Research (2023))0.3
Aime(MAA (Mathematical Association of America))0.3
Scicode(UIUC + Argonne National Lab (2024))0.2
Aime 25(MAA (Mathematical Association of America))0.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Tau2(Sierra + U Toronto + Vector Institute (2025))0.1
Lcr(Artificial Analysis)0.1
Terminalbench V2 10.0
Hle(Center for AI Safety + Scale AI (2025))0.0
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Tau Banking0.0
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Structured Output90
Instruction Following90
Math80
Legal70
Multimodal70
Image To Text70
Finance70
Grounding70
Healthcare70
Vision70
Reasoning60
Language60
General60
Code60
Physics40
Factuality40
Biology40
Chemistry40
Long Context10
Tarification
Prix d'entréeGratuit
Prix de sortieGratuit
Prix mixte (3:1)Gratuit
Prix de lecture cache$0.04 / 1M tokens
Vitesse
Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
6 fournisseurs
Moins cher: OpenRouterPlus cher: STACKIT
FournisseurEntréeSortie
1OpenRouterMoins cher
$0.08
$0.45
2Kilo Gateway
$0.08
$0.16
3Nebius Token Factory
$0.1
$0.3
4LLM Gateway
$0.1
$0.3
5NovitaAI
$0.119
$0.2
6STACKIT
$0.53
$0.76
Comparer les prix entre différents fournisseurs API pour ce modèle.