Google: Gemini 2.5 Flash Lite
google/gemini-2.5-flash-lite
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency.
- Context window: 1,048,576 tokens
- Input: text, image, file, audio, video
- Output: text
- Pricing: $0.1/M input tokens, $0.4/M output tokens
Community sentiment
Mixed (+8) — 2 positive, 2 negative, 1 neutral across 5 community samples from X and the web, as of 2026-10-23.
Community posts highlight Gemini 2.5 Flash Lite's speed and usefulness for media tagging, but note degraded benchmark performance on some tests and that newer Gemini versions are reported as superior. Price points are mentioned neutrally as a low-cost API option.
- “📊 AI API Performance - Week of Oct 19 Fastest: Gemini 2.5 Flash Lite (350ms median) Most reliable: Gemini 2.5 Flash (100% uptime) Most incidents: Fireworks AI (17 this week) Live benchmarks → https://t.co/qmU6X6iLBw” — X
- “bynder and every other DAM work the same way: tag by hand, search by filename, pay $100k a year ai does the tagging for you, and the whole team can use it all you need S3 for the files postgres for the metadata gemini 2.5 flash-lite to watch every video and image and write down w” — X
- “Same models, two scorecards. Llama-3.3-70B on Math500 goes from +14.2 on aggregate lift to -39.4 on the paired test. Gemini-2.5-Flash-lite on MBPP+ goes from +4.4 to -22.2. https://t.co/rLNQFjILVu https://t.co/TR1Zeolhax” — X
- “Gemini 3.5 Flash Lite Learning fast - Facebook — 4 days ago · According to Google, it is 2.5x faster, more cost-efficient, and has better instruction following compared to the previous Gemini 2.5 Flash- Lite model. Jin ...GPT Image 2.5 vs Nano Banana 2.1 tested on 5 real tasks! F” — the web
View on OpenRouter. Model data sourced from OpenRouter.