Gemini 3.5 Flash Lite
everyais/gemini-3-5-flash-lite
Gemini 3.5 Flash Lite (everyais/gemini-3-5-flash-lite) availability, capabilities, context limits, and public reference pricing on everyais.
Method
The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.
Source and update
GET /models/catalogUpdated
- Model type
- Chat
- Released
- 2026-05-19
- Context window
- 1.0M
- Price unit
- Per 1M tokens
- Maximum output
- 65,536
- Model reference price (USD)
- Input / 1M tokens
- $0.3
- Output / 1M tokens
- $2.5
- Cache read / 1M tokens
- $0.03
- Web search reference price (USD)
- $0.014 /queryAdded to token pricing
Capabilities
- ✓ Streaming
- ✓ Tool use
- ✓ Vision
- ✓ JSON with tools
- ✓ Web search with tools
- ✓ JSON
- ✓ Reasoning
- ✓ Structured outputs
- ✓ Web search
Supported endpoints
- /v1/chat/completions
Benchmarks
Evaluation results published by external sources. Only mappings approved by a human administrator are shown.
| Benchmark | Score | Source |
|---|---|---|
| aa-agentic-index | 16.1 (source-specific scale) | Artificial AnalysisArtificial Analysis Data APISource model label: gemini-3-5-flash-lite |
| aa-coding-index | 49.3 (source-specific scale) | Artificial AnalysisArtificial Analysis Data APISource model label: gemini-3-5-flash-lite |
| aa-intelligence-index | 27.6 (source-specific scale) | Artificial AnalysisArtificial Analysis Data APISource model label: gemini-3-5-flash-lite |
| scicode | 40.9% | Epoch AI Benchmarking HubCC-BYSource model label: gemini-3.5-flash-lite |
Scores are reproduced as published; everyais does not re-measure them. Scores using different units cannot be compared. See benchmark sources and licenses.
Usage and availability trend
Last 14 days · 2026-09-08 Input 49,256 · Output 3,033 tokens.
Daily availability (success rate %)
Insufficient sample — not enough requests to publish a success rate.
Code example
Use the OpenAI SDK by changing only base_url.
from openai import OpenAI
client = OpenAI(
api_key="everyais_...",
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/gemini-3-5-flash-lite",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Full API docsOther models in this family
Compare models side by side
Compare capabilities, context windows, and reference prices to find a model for your use case. Your actual billed rate can differ by account.