Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite by Google is a hybrid reasoning model with switchable thinking and a 1M-token context, optimized for high-volume, low-latency tasks.
Model Overview
Capabilities, design details, and architectural traits
Gemini 2.5 Flash Lite - Hybrid Reasoning
Gemini 2.5 Flash Lite belongs to Google DeepMind's hybrid reasoning model family, meaning thinking can be switched on or off per request. It is explicitly optimized for high-volume, latency-sensitive tasks - the model card names translation and classification as its primary target use cases. Its architecture is sparse mixture-of-experts (MoE), activating only a subset of parameters per input token.
What Makes Flash Lite Distinct Within the Gemini 2.5 Family
| Trait | Detail |
|---|---|
| Switchable thinking (hybrid reasoning) | Thinking can be turned on or off; configurable thinking budgets let developers trade latency for reasoning depth per request |
| Explicitly conciseness-optimized | The model targets a 50% reduction in output tokens versus prior Flash-Lite versions - reduced verbosity is a stated design goal |
| Named target tasks | Model card explicitly names translation and classification as the intended high-volume use cases - not general-purpose deployment |
| 1M-token context window | Accepts text, images, audio, and video within a 1M-token input; 64K token output |
Thinking Budget as a Control Mechanism
The thinking budget is a documented control available to developers: lower budgets reduce latency, higher budgets increase reasoning depth. The model card notes that adherence to thinking budgets is a documented behavior rather than a guarantee.
Benchmark Performance
Independent evaluations · Artificial Analysis
Accuracy & Capability Details
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Anthropic | Anthropic | |
| Release Date | June 17, 2025 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | Jan 2025 | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 1.0M Best Context Window | 1M | 1M |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.10 Best Input Pricing | $4 | $2 |
| Output Pricing | $0.40 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | textimagefileaudiovideo | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 6.7 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | - | - | - |
| Agentic Index | - | - | - |
Humanity's Last Exam
Extremely difficult logical reasoning and knowledge.
Long Context Reasoning
Logical reasoning over long context windows.
SciCode Benchmark
Scientific coding and mathematical modeling.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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