Gemini 3.6 Flash (batch)
google/gemini-3.6-flash:batch
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.
Key facts
- Input price
- $0.375 / 1M tokens
- Output price
- $1.88 / 1M tokens
- Context window
- 1M tokens
- Max output
- 66K tokens
- Accepts
- Text, Images, Files, Audio, Video
- Returns
- Text
Example: 1,000 requests with 1,000 input and 500 output tokens each would cost about $1.31 (1M input tokens × $0.375 + 0.5M output tokens × $1.88). Estimate your own usage.
Prices are the provider’s own per-token rates with zero markup, from our price list as of Oct 18, 2026. If a call has extra provider charges (images, audio, web search, cached prompts), you pay the reported cost.
Call it from your code
curl https://api.tokenctr.com/v1/chat/completions \
-H "Authorization: Bearer $TOKENCENTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "google/gemini-3.6-flash:batch", "messages": [{"role": "user", "content": "Hello!"}]}'Works with any OpenAI-compatible SDK: set the base URL to https://api.tokenctr.com/v1. Quickstart
Benchmarks
Artificial Analysis
- Intelligence index
- 34
- Coding index
- 69.2
- Agentic index
- 29
Design Arena
| Category | Rank | Elo | Win rate |
|---|---|---|---|
| Models: ASCII art | 6 | 1281 | 57.1% |
| Agents: Android native | 11 | 1217 | 53.7% |
| Agents: Agentic game dev | 12 | 1181 | 47.8% |
| Models: Websites | 14 | 1302 | 55.4% |
| Models: Data visualization | 15 | 1290 | 52.3% |
| Agents: Mobile apps | 16 | 1196 | 50.2% |
| Agents: HTML slides | 17 | 1148 | 41.9% |
| Models: Code | 18 | 1292 | 53.4% |
| Models: UI components | 19 | 1296 | 53.8% |
| Agents: Full-stack | 21 | 1181 | 44.3% |
| Agents: Web apps | 23 | 1188 | 45.4% |
| Models: 3D | 23 | 1273 | 53% |
| Agents: Slides (python-pptx) | 24 | 1146 | 38.8% |
| Models: Game dev | 28 | 1267 | 51.1% |
Source: Artificial Analysis indexes and Design Arena results as published in OpenRouter’s model data, fetched Oct 15, 2026. Higher is better. Not measured by TokenCenter. See all rankings.