Gemini 3.5 Flash-Lite
Language Available Full comparison ↗ google-deepmind/gemini-3.5-flash-lite · by Google DeepMind
· decoder-only-transformer
Pricing — 1 offering(s)
About this offering: Google's Gemini 3.5 Flash-Lite at $0.30 input and $2.50 output per 1M tokens, the same input rate for text, image, video and audio. It's Google's low-latency, low-cost model for high-volume agentic and data-processing work. From 2026-12-01, Google routes Gemini 2.5 Flash API requests to this model (Gemini API pricing and deprecations pages, checked 2026-11-04).
Input tokens
- $0.30 / 1M tokens (input)
Current
2026-07-21 → present
The same rate for text, image, video and audio input.
Cached input tokens
- $0.03 / 1M tokens (cached input)
Current
2026-07-21 → present
Storage is billed separately at $1.00/1M tokens per hour.
Output tokens
- $2.50 / 1M tokens (output)
Current
2026-07-21 → present
Includes thinking tokens.
Batch
Batch input tokens
- $0.15 / 1M tokens (input) Current 2026-07-21 → present
Batch output tokens
- $1.25 / 1M tokens (output) Current 2026-07-21 → present
Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.
See how Gemini 3.5 Flash-Lite fits into a cost-aware routing setup
See how →Capability profile
How Gemini 3.5 Flash-Lite rates across core capability dimensions, with the task-level evidence behind each rating.
SWE-Bench Pro (Public): 54.2%; Terminal-bench 2.1 (Terminus-2 harness): 54.0%. Vendor-reported (Google DeepMind model card), in line with GPT-5.4 mini on SWE-Bench Pro (54.4%) and behind it on Terminal-bench 2.1 (59.2%).
Function calling, code execution, file search and computer use all listed as supported (Gemini API model page). OSWorld-Verified (agentic computer use): 74.0%, vendor-reported (Google DeepMind model card).
1,048,576-token input context, 65,536-token output limit (Gemini API model page).
Google describes it as a "low-latency" model "optimized for high-throughput, low-cost execution" (Gemini API model page).
Google's models overview: "Our fastest, most cost-effective 3.5 model for high-throughput execution."
Ratings are estimated — limited independent data is available for this model.
Operator guidance
Google's low-cost Flash-Lite tier in the current Gemini 3.x line. Step up to Gemini 3.8 Flash for harder reasoning or coding; Google routes Gemini 2.5 Flash requests here from 2026-12-01.
Use cases
- Subagent tasks and high-volume agentic workflows where latency and API cost are the main constraints
- Document parsing and simple data extraction over text, image, video, audio and PDF input
Limitations
- Text output only: no audio or image generation, and no Live API (Gemini API model page)