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Gemma-4-31B-IT

ReadyVisionby Google

Overview

About this model

Gemma-4-31B-IT is a multimodal model that understands both images and text, served on EcoHash through an OpenAI-compatible API.

View model card on HuggingFace

Specifications

Model details

Provider
Google
Modality
Vision
Pricing
$0.50 in · $0.50 out / 1M

API

Call it in code

Use the OpenAI-compatible endpoint below with your EcoHash API key and this model ID.

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.ecohash.com/v1",
    api_key="YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="gemma-4-31b-it",
    messages=[{"role": "user", "content": [
        {"type": "text", "text": "Describe this image"},
        {"type": "image_url", "image_url": {"url": "..."}},
    ]}],
)
curl
curl https://api.ecohash.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d {
    "model": "gemma-4-31b-it",
    "messages": [{"role": "user", "content": [
      {"type": "text", "text": "Describe this image"},
      {"type": "image_url", "image_url": {"url": "..."}}
    ]}]
  }

Compare

Gemma-4-31B-IT vs other vision models

Same API, same billing. Rates come live from the EcoHash billing system.

Gemma-4-31B-IT compared with other EcoHash vision models
ModelContextPriceModalities
Gemma-4-31B-IT (this page)—$0.50 per 1M input tokens and $0.50 per 1M output tokens—
Qwen2.5-VL-7B-Instruct32.8K tokens$0.30 per 1M input tokens and $0.60 per 1M output tokenstext, image → text
Kimi-K2.6—$1.08 per 1M input tokens and $4.50 per 1M output tokens—
qwen3-omni-30b-a3b-instruct—$0.40 per 1M input tokens and $0.80 per 1M output tokenstext, image, audio, video → text, audio

FAQ

Common questions

How much does the Gemma-4-31B-IT API cost?
Gemma-4-31B-IT is $0.50 per 1M input tokens and $0.50 per 1M output tokens on EcoHash. That figure comes live from the EcoHash billing system, so the price shown on this page is the price you are billed — there is no separate list price to reconcile.
Gemma-4-31B-IT vs Qwen2.5-VL-7B-Instruct: which should I use?
Both are vision models on the same OpenAI-compatible EcoHash API, so moving between them is a change of model id and nothing else. Gemma-4-31B-IT has $0.50 per 1M input tokens and $0.50 per 1M output tokens. Qwen2.5-VL-7B-Instruct has a 32.8K-token context window at $0.30 per 1M input tokens and $0.60 per 1M output tokens. Both prices come live from the EcoHash billing system; the comparison table on this page carries the current figures.
Can I use Gemma-4-31B-IT commercially through EcoHash?
EcoHash hosts Gemma-4-31B-IT under the model publisher's own licence and does not change its terms, so whether your use is permitted is decided by that licence — read it on the model card at https://huggingface.co/google/gemma-4-31B-it. The EcoHash Terms of Service additionally require you to comply with each model's licence and acceptable-use policy. Your EcoHash bill for API usage is separate from, and does not grant, any right under the model's licence.

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