Gemma 4 31B IT

• Type: Generation
• Capabilities: vision, reasoning
• Cache read: $0.12 per 1M input tokens (1× standard input price). See prompt caching.

Overview

Gemma 4 31B is Google DeepMind’s most capable open model, built for advanced reasoning, coding, and multimodal understanding. It sits in the same general tier as Claude 4.5 Haiku and NVIDIA Nemotron 3 Super, with native function calling and structured JSON output for agentic workflows; strong image and video understanding for tasks like OCR and chart analysis; 256K context for long documents and repositories; and support for 140+ languages.

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Multimodal Input

Gemma 4 supports multimodal input, so you can send images or videos together with text in a single request.

Image Example

"messages": [
  {
    "role": "user",
    "content": [
      {
        "type": "image_url",
        "image_url": {
          "url": "https://example.com/image.jpg"
        }
      },
      {
        "type": "text",
        "text": "Describe this image."
      }
    ]
  }
]

Video Example

"messages": [
  {
    "role": "user",
    "content": [
      {
        "type": "video_url",
        "image_url": {
          "url": "https://example.com/sample_video.mp4"
        }
      },
      {
        "type": "text",
        "text": "Summarize what happens in this video."
      }
    ]
  }
]

Reasoning efforts

• Supported: none, minimal, low, medium, high, xhigh, max

See the reasoning effort guide for request examples.

Pricing

Playground

Open this model in the Playground.