Gemma 4 31B

• GPQA DiamondVery hard multiple-choice questions in biology, physics and chemistry, written by PhD experts. Random guessing scores 25%.75.8%#74 of 116
• AIME mathCompetition-level math problems in the style of the American Invitational Mathematics Examination. Share solved.73.3%#70 of 112
• SimpleQA VerifiedShort factual questions. Measures how often the model gets facts right instead of making something up.10.4%#67 of 69

Benchmark data: Epoch AI, licensed CC BY 4.0

Companies that serve this model through an API: 15. Prices per million tokens, cheapest first.

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Call Gemma 4 31B through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "google/gemma-4-31b-it", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

import os
from openai import OpenAI

client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
    model="google/gemma-4-31b-it",
    messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
  model: "google/gemma-4-31b-it",
  messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

• 1,000 chat replies

  ≈ 500 tokens in, 300 out each
  $0.147
• Summarise a 100-page document

  ≈ 50,000 tokens in, 1,000 out
  $0.0048
• An app with 10,000 requests a day for a month

  ≈ 1,000 tokens in, 400 out each
  $67.80

Cost calculator →

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How much does Gemma 4 31B cost?

Gemma 4 31B costs $0.09 per million input tokens and $0.34 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.147.

What is the context window of Gemma 4 31B?

Gemma 4 31B can read up to 262,144 tokens in one request, about 492 pages of text. It can write up to 16,384 tokens in a single answer.

Is Gemma 4 31B open source?

Yes. Its weights are published (google/gemma-4-31B-it), so you can download it and run it on your own hardware, or use it through one of 15 API providers.

Who makes Gemma 4 31B?

Gemma 4 31B is made by Google DeepMind. It became available through the API on April 2, 2026.

How good is Gemma 4 31B?

Gemma 4 31B has an overall index of 142.7 in Epoch AI’s independent tests, ranking #84 of 136 models we track.

Can Gemma 4 31B read images?

Yes. Besides text, it accepts images and video as input.

What are the alternatives to Gemma 4 31B?

Models with a similar price from other companies include Solar Pro 4, Laguna S 2.1 and GPT-6 Luna Pro. You can compare them side by side on this page.