Gemini 2.5 Flash-Lite (Non-reasoning)
GoogleGeminiOpen WeightCreative Commons Attribution 4.0 License
Description
Gemini 2.5 Flash-Lite is a model developed by Google DeepMind, designed to handle various tasks including reasoning, science, mathematics, code generation, and more. It features advanced capabilities in multilingual performance and long context understanding. It is optimized for low latency use cases, supporting multimodal input with a 1 million-token context length.
Date de sortie
2025-06-17
Paramètres
—
Longueur du contexte
1.0M
Modalités
audio, image, pdf, text, video
Radar de capacités
26
general
40
coding
49
reasoning
34
science
46
agents
82
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Audio | 41 | 51.0 | AA |
| Classement codage | 458 | 27.0 | AA |
| Classement général | 509 | 28.0 | AA |
| Classement multimodal | 75 | 52.0 | LS |
| Science | 536 | 24.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Factuality
SimpleQA
10.7%Aut.
General
Global-MMLU-Lite
81.1%Aut.
Aider-Polyglot
26.7%Aut.
Long Context
MRCR v2
16.6%Aut.
Math
AIME 2025
49.8%Aut.
Multimodal
MMMU
72.9%Aut.
Vibe-Eval
51.3%Aut.
Reasoning
FACTS Grounding
84.1%Aut.
GPQANYU + Cohere + Anthropic (2023)
64.6%Aut.
LiveCodeBench
33.7%Aut.
SWE-Bench Verified
31.6%Aut.
Humanity's Last Exam
5.1%Aut.
Arc
2.5%Aut.
Indices d'évaluation AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))92.6
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))72.4
Aime(MAA (Mathematical Association of America))50.0
Gpqa(NYU + Cohere + Anthropic (2023))47.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))40.0
Aime 25(MAA (Mathematical Association of America))35.3
Math Index(Artificial Analysis)35.3
Lcr(Artificial Analysis)32.0
Ifbench(Google Research (2023))31.5
Tau2(Sierra + U Toronto + Vector Institute (2025))19.0
Intelligence Index(Artificial Analysis)6.7
Hle(Center for AI Safety + Scale AI (2025))3.7
Terminalbench Hard(Stanford × Laude Institute (2026))2.3
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Language80
Grounding80
Healthcare70
Multimodal60
Physics60
Biology60
Chemistry60
Reasoning50
Factuality50
General40
Vision40
Math30
Frontend Development30
Code30
Long Context20
Tarification
Prix d'entrée$0.1 / 1M tokens
Prix de sortie$0.4 / 1M tokens
Prix mixte (3:1)$0.175 / 1M tokens
Prix de lecture cache$0.01 / 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
8 fournisseurs
Moins cher: Jiekou.AIPlus cher: Vertex
FournisseurEntréeSortie
1Jiekou.AIMoins cher
$0.09
$0.36
2Helicone
$0.1
$0.4
3GooglePRINCIPAL
$0.1
$0.4
4NanoGPT
$0.1
$0.4
5SAP AI Core
$0.1
$0.4
6AIHubMix
$0.1
$0.4
7DevPass (LLM Gateway)
$0.1
$0.4
8Vertex
$0.1
$0.4
Comparer les prix entre différents fournisseurs API pour ce modèle.