Google DeepMind

Gemini 2.0 Flash-Lite

Tool callingStructured outputImage inputAudio inputVideo inputFile input
Gemini 2.0 Flash-Lite launch post cover

Low-latency Gemini model for high-volume multimodal and agent workloads

Context
1.0M
Released
1y ago

Sources:models.dev

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Model family
Gemini
Type
Language model
Predecessor
—
Successor
—
Released
December 11, 2024
Model ID
google/gemini-2.0-flash-lite
Openness
Closed
License
—
Input modalities
text, image, audio, video, file
Output modalities
text
Modality
text+image+audio+video+file->text
Max output tokens
8K
Knowledge cutoff
2024-06
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
google/gemini-2.0-flash-lite
Source family
gemini-flash-lite
Last updated
2024-12-11
Knowledge cutoff
2024-06
Model context
1.0M
Model output limit
8K
Open weights
No
File attachments
Yes
Reasoning
No
Tool calling
Yes
Structured output
Yes
Temperature control
Yes
Complete source record (JSON)
{
  "id": "google/gemini-2.0-flash-lite",
  "name": "Gemini 2.0 Flash-Lite",
  "description": "Low-latency Gemini model for high-volume multimodal and agent workloads",
  "family": "gemini-flash-lite",
  "last_updated": "2024-12-11",
  "knowledge": "2024-06",
  "attachment": true,
  "reasoning": false,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image",
      "audio",
      "video",
      "pdf"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1048576,
    "output": 8192
  },
  "release_date": "2024-12-11",
  "open_weights": false
}

Infrastructure

Provider availability

All providers
Provider endpoint data will appear after this model's first OpenRouter endpoint sync.

Text provenance

Gemini app/web

Google SynthID text watermarking

Google DeepMind says text generated in the Gemini app and web experience is watermarked with SynthID by adjusting token probabilities.

Official explanation