Google model product
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.
Updated Aug 10, 2026. Default version: Gemini 2.5 Flash-Lite
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version Gemini 2.5 Flash-Lite.
| Arc | 0.0 | 1 | 1 | 100.0% | C | |
| FACTS Grounding | 0.8 | 3 | 13 | 83.3% | C | |
| MRCR v2 | 0.2 | 3 | 3 | 0.0% | C | |
| Global-MMLU-Lite | 0.8 | 4 | 14 | 76.9% | C | |
| Vibe-Eval | 0.5 | 6 | 8 | 28.6% | C | |
| Aider-Polyglot | 0.3 | 21 | 22 | 4.8% | C | |
| MMMU | 0.7 | 26 | 63 | 59.7% | C | |
| SimpleQA | 0.1 | 39 | 46 | 15.6% | C | |
| LiveCodeBench | 0.3 | 58 | 73 | 20.8% | C | |
| Humanity's Last Exam | 0.1 | 89 | 92 | 3.3% | C | |
| SWE-Bench Verified | 0.3 | 100 | 104 | 3.9% | C | |
| AIME 2025 | 0.5 | 101 | 114 | 11.5% | C | |
| GPQA | 0.6 | 151 | 233 | 35.3% | C |
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| Jiekou.AI | gemini-2.5-flash-lite | global | $0.09 | $0.36 | 1M | |
| Helicone | gemini-2.5-flash-lite | global | $0.10 | $0.40 | 1M | |
| gemini-2.5-flash-lite | global | $0.10 | $0.40 | 1M | ||
| NanoGPT | gemini-2.5-flash-lite | global | $0.10 | $0.40 | 1M | |
| LLM Gateway | gemini-2.5-flash-lite | global | $0.10 | $0.40 | 1M | |
| SAP AI Core | gemini-2.5-flash-lite | global | $0.10 | $0.40 | 1M | |
| Vertex | gemini-2.5-flash-lite | global | $0.10 | $0.40 | 1M |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Gemini 2.5 Flash-Lite | 30.7 | N/A | 1M | 65.5K | No | Creative Commons Attribution 4.0 License |
A concise description based on the published model registry.
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.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Gemini 2.5 Flash Lite.
Gemini 2.5 Flash Lite's default version was released on Jun 17, 2025.
Gemini 2.5 Flash Lite's official API price is $0.10 per million input tokens and $0.40 per million output tokens via Google. The lowest tracked third-party offer starts at $0.09 input and $0.36 output via Jiekou.AI.
Gemini 2.5 Flash Lite is published under Google in the model registry.
The default version has a 1M token context window.
No. The default version is not marked as having publicly available weights.
8 published provider offerings are linked to the default version.
Nearby ranked alternatives include Qwen2.5 7B, Llama 4 Scout, Phi 4 Mini.