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Gemini Flash-Lite
deepmind.googleSummary
Ask questionsGemini Flash-Lite is a cost-efficient and fast AI model from Google DeepMind, part of the Gemini 2.5 family. It is designed for high-volume, latency-sensitive tasks and offers reasoning capabilities, a large context window, and support for native tools like Google Search and code execution. It is accessible to developers via APIs.
Features10/13
See all10/13
Must Have
5 of 5
Conversational AI
API Access
Safety & Alignment Framework
Fine-Tuning & Custom Models
Enterprise Solutions
Other
5 of 8
Image Generation
Code Generation
Multimodal AI
Research & Publications
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingTiered
See allTiered
Gemini 2.5 Flash-Lite
Custom
- Best for high volume, cost efficient tasks
- Superior latency
- Tool use (Search, code execution, URL Context)
- 1 million-token context window
- All-around higher quality than 2.0 Flash-Lite
- Thinking enabled (optional)
Gemini 2.5 Flash
Custom
- Best for fast performance on everyday tasks
- 1 million-token context window
- Controllable thinking budgets
- Support for native tools (Grounding with Google Search, Code Execution, URL Context)
- Multimodal input
Gemini 2.5 Pro
Custom
- Best for coding and highly complex tasks
- Highest intelligence and capabilities
- Native multimodality
- Long context window (1M tokens)
- Reasoning capabilities
- Adaptive and budgeted thinking
- Iterative development and design
- Aiding scientific and mathematical discovery
- Algorithmic development and code
- Deep Think enhanced reasoning mode
Rationale
Google DeepMind's Gemini Flash-Lite, along with its broader Gemini family (Pro, Flash), directly aligns with the OpenAI Platform's description. It offers advanced AI models accessible via API, supports conversational AI, multimodal capabilities (text, image, video, audio), and emphasizes safety and responsible AI development. The documentation explicitly mentions API access, various model capabilities including text, image, and code generation, and a strong focus on safety and research publications. The 'Thinking' feature and fine-tuning capabilities further solidify the match.
