Gemini 3.1 Pro Preview (batch)
google/gemini-3.1-pro-preview:batch
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows.
Key facts
- Input price
- $1.00 / 1M tokens
- Output price
- $6.00 / 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 $4.00 (1M input tokens × $1.00 + 0.5M output tokens × $6.00). 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-3.1-pro-preview: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
- 29.7
- Coding index
- 68.8
- Agentic index
- 8.2
Design Arena
| Category | Rank | Elo | Win rate |
|---|---|---|---|
| Agents: Agentic HTML slides | 4 | 1226 | 55.8% |
| Agents: Agentic slides (HTML) | 4 | 1219 | 54.4% |
| Agents: Agentic slides | 7 | 1112 | 33.8% |
| Agents: Agentic slides (python-pptx) | 7 | 1107 | 33.9% |
| Agents: PPTX slides | 7 | 1110 | 34.1% |
| Agents: Godot game dev | 8 | 1236 | 60% |
| Models: ASCII art | 10 | 1272 | 63.5% |
| Models: SVG | 11 | 1285 | 67.8% |
| Agents: HTML slides | 16 | 1153 | 48.6% |
| Agents: Agentic game dev | 22 | 1114 | 44.2% |
| Agents: Slides (python-pptx) | 25 | 1109 | 31.9% |
| Models: UI components | 26 | 1279 | 69.4% |
| Agents: Web apps | 31 | 1119 | 44.6% |
| Agents: Full-stack | 32 | 1068 | 40.8% |
| Agents: Android native | 34 | 1064 | 41.4% |
| Agents: Mobile apps | 37 | 1091 | 43.2% |
| Models: Data visualization | 37 | 1240 | 61.8% |
| Models: 3D | 39 | 1235 | 58.4% |
| Models: Websites | 40 | 1254 | 64.4% |
| Models: Code | 42 | 1245 | 64.4% |
| Models: Game dev | 51 | 1206 | 52.1% |
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.