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Gemini 2.5 Flash-Lite

GoogleProprietaryVerified

Google's most cost-efficient and fastest 2.5 model yet. Higher quality than 2.0 Flash-Lite on coding, math, science, reasoning and multimodal benchmarks. Excels at high-volume, latency-sensitive tasks like translation and classification.

2025-06-17
Mixture of Experts
Proprietary

Specifications

Architecture
Mixture of Experts
License
Proprietary
Context Window
1,000,000 tokens
Type
multimodal
Modalities
textimagevideoaudio

Benchmark Scores

A comprehensive code editing benchmark based on Exercism coding exercises across 6 programming langu...

American Invitational Mathematics Examination (AIME) 2025 problems....

The FACTS Grounding Leaderboard evaluates LLMs' ability to generate factually accurate long-form res...

A balanced collection of culturally sensitive and culturally agnostic MMLU tasks designed for effici...

GPQA66.7

Graduate-level Problems in Quantitative Analysis (GPQA) evaluates advanced reasoning on graduate-lev...

A challenging benchmark of novel problems designed to test the limits of AI capabilities....

Evaluates models on their ability to solve coding problems in real-time....

MMMU72.9

A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI with 11.5...

MRCR (Multi-Round Coreference Resolution) is part of the Michelangelo benchmark suite that evaluates...

MRCR (Multi-Round Coreference Resolution) is part of the Michelangelo benchmark suite that evaluates...

A benchmark of simple but precise questions to test factual knowledge and reasoning....

Software Engineering Benchmark (SWE-bench) evaluates models on real-world software engineering tasks...

Evaluates models on their ability to understand and generate content with specific vibes or styles....

Advanced Specifications

Model Family
Gemini
API Access
Available
Chat Interface
Available
Multilingual Support
Yes

Capabilities & Limitations

Capabilities
cost-efficient performancefast inferencereasoningcodemathsciencemultimodal understandinglong contexttranslationclassificationthinking mode
Notable Use Cases
high-volume taskslatency-sensitive applicationstranslationclassificationcoding assistance
Tool Use Support
Yes

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