Gemma 4 26B IT

Model Information

Display Name: Gemma 4 26B IT

API Model ID: google/gemma-4-26b-a4b-it

Category: Image To Text

Description: Gemma 4 26B IT is Google''s latest open-weight multimodal Mixture-of-Experts model, combining text reasoning, vision understanding, and agentic capabilities in a single efficient 26B parameter model with only 4B active at inference. **Key Features:** - 256K token context window - Multimodal: processes text, images, and video (up to 60 seconds) - Mixture-of-Experts architecture (25.2B total, 3.8B active) - Configurable thinking modes for advanced reasoning - Function calling and structured JSON outputs - Support for 35+ languages out-of-the-box, pre-trained on 140+ **Capabilities:** - Text generation, chat, and complex reasoning - Image understanding at variable aspect ratios and resolutions - Video processing and temporal reasoning - Code generation, completion, and debugging - Function/tool calling with agentic workflows - Document analysis and long-context retrieval **Best For:** - Cost-efficient multimodal applications - Long-document analysis (up to 256K tokens) - Agentic workflows and tool use - Vision + reasoning pipelines - Multilingual applications **Technical Specs:** - Architecture: Sparse Mixture-of-Experts (8 active / 128 total + 1 shared) - Total Parameters: 25.2B - Active Parameters: 3.8B per token - Layers: 30 - Sliding Window: 1024 tokens - Vocabulary: 262K tokens - Vision Encoder: ~550M parameters - License: Apache 2.0 **Benchmarks:** - MMLU Pro: 82.6% - AIME 2026: 88.3% - LiveCodeBench v6: 77.1% - Codeforces ELO: 1718 - MRCR v2 (128K, 8-needle): 44.1%

Context Window: 262,144 tokens

Max Output: 8,192 tokens

How to Use This Model

To use Gemma 4 26B IT via the HInow.ai API, use the model ID: google/gemma-4-26b-a4b-it

API Request Example (Chat/Text)


POST https://api.hinow.ai/v1/chat/completions
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "google/gemma-4-26b-a4b-it",
  "messages": [
    {"role": "user", "content": "Your message here"}
  ]
}
              

API Request Example (Image Generation)


POST https://api.hinow.ai/v1/images
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "google/gemma-4-26b-a4b-it",
  "prompt": "Your image description here"
}
              

Pricing

  • input: $0.18
  • output: $0.585
  • image: $0.015

Available Parameters

  • temperature: Controls randomness (0-2). Higher = more creative, lower = more deterministic. Default: 0.7 (Options: 0, 0.3, 0.5, 0.7, 1.0, 1.5, 2.0)
  • top_p: Nucleus sampling threshold (0-1). Default: 0.9 (Options: 0.1, 0.5, 0.7, 0.9, 0.95, 1.0)
  • top_k: Limits sampling to top K tokens. Default: off (Options: 10, 20, 40, 50, 100)
  • max_tokens: Maximum tokens to generate (1-8192). Default: 4096 (Options: 256, 512, 1024, 2048, 4096, 8192)
  • repetition_penalty: Penalty for repeating tokens (0.01-5). Default: 1.0 (Options: 1.0, 1.1, 1.2, 1.5, 2.0)
  • response_format: Output format for structured responses (Options: text, json_object, json_schema)
  • stop: Up to 4 sequences where the API stops generating further tokens

Quick Reference

To use this model, set: "model": "google/gemma-4-26b-a4b-it"

Featured: No

Documentation: https://hinow.ai/models/google/gemma-4-26b-a4b-it

API Endpoint: https://api.hinow.ai/v1

Back to Models
Gemma 4 26B IT

Gemma 4 26B IT

google/gemma-4-26b-a4b-it

$0.180 / $0.585
per 1M tokens (in/out)

About

Gemma 4 26B IT is Google''s latest open-weight multimodal Mixture-of-Experts model, combining text reasoning, vision understanding, and agentic capabilities in a single efficient 26B parameter model with only 4B active at inference.

Key Features:

  • 256K token context window
  • Multimodal: processes text, images, and video (up to 60 seconds)
  • Mixture-of-Experts architecture (25.2B total, 3.8B active)
  • Configurable thinking modes for advanced reasoning
  • Function calling and structured JSON outputs
  • Support for 35+ languages out-of-the-box, pre-trained on 140+

Capabilities:

  • Text generation, chat, and complex reasoning
  • Image understanding at variable aspect ratios and resolutions
  • Video processing and temporal reasoning
  • Code generation, completion, and debugging
  • Function/tool calling with agentic workflows
  • Document analysis and long-context retrieval

Best For:

  • Cost-efficient multimodal applications
  • Long-document analysis (up to 256K tokens)
  • Agentic workflows and tool use
  • Vision + reasoning pipelines
  • Multilingual applications

Technical Specs:

  • Architecture: Sparse Mixture-of-Experts (8 active / 128 total + 1 shared)
  • Total Parameters: 25.2B
  • Active Parameters: 3.8B per token
  • Layers: 30
  • Sliding Window: 1024 tokens
  • Vocabulary: 262K tokens
  • Vision Encoder: ~550M parameters
  • License: Apache 2.0

Benchmarks:

  • MMLU Pro: 82.6%
  • AIME 2026: 88.3%
  • LiveCodeBench v6: 77.1%
  • Codeforces ELO: 1718
  • MRCR v2 (128K, 8-needle): 44.1%

Capabilities

Image To TextText To Text
Context262K tokens
Max Output8K tokens

Parameters

temperature

Controls randomness (0-2). Higher = more creative, lower = more deterministic. Default: 0.7

00.30.50.71.01.52.0
top_p

Nucleus sampling threshold (0-1). Default: 0.9

0.10.50.70.90.951.0
top_k

Limits sampling to top K tokens. Default: off

10204050100
max_tokens

Maximum tokens to generate (1-8192). Default: 4096

2565121024204840968192
repetition_penalty

Penalty for repeating tokens (0.01-5). Default: 1.0

1.01.11.21.52.0
response_format

Output format for structured responses

textjson_objectjson_schema
stop

Up to 4 sequences where the API stops generating further tokens

Code Examples

curl -X POST https://api.hinow.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $HINOW_API_KEY" \
  -d '{
    "model": "google/gemma-4-26b-a4b-it",
    "messages": [
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "Describe this image"},
          {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}}
        ]
      }
    ],
    "parameters": {
      "temperature": "0",
      "top_p": "0.1",
      "top_k": "10",
      "max_tokens": "256",
      "repetition_penalty": "1.0",
      "response_format": "text",
      "stop": ""
    }
  }'