Gemini 2.5 Flash-Lite
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.
Specifications
- Architecture
- Mixture of Experts
- License
- Proprietary
- Context Window
- 1,000,000 tokens
- Type
- multimodal
- Modalities
- textimagevideoaudio
Benchmark Scores
A challenging benchmark of novel problems designed to test the limits of AI capabilities....
Graduate-level Problems in Quantitative Analysis (GPQA) evaluates advanced reasoning on graduate-lev...
Software Engineering Benchmark (SWE-bench) evaluates models on real-world software engineering tasks...
The FACTS Grounding Leaderboard evaluates LLMs' ability to generate factually accurate long-form res...
A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI with 11.5...
Evaluates models on their ability to understand and generate content with specific vibes or styles....
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 balanced collection of culturally sensitive and culturally agnostic MMLU tasks designed for effici...
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