Google: Gemma 4 31B
Google · google/gemma-4-31b-it
Runs in the cloud on our API and on your own machine — gemma4:31b on the local shelf, free and offline.
open weights tools reasoning optional
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
What it costs
Final AI-token prices, per million tokens. Bring your own provider key in the app to pay provider rates directly.
What it can do
Benchmarks
| Benchmark | What it measures | Score |
|---|---|---|
| Epoch Capabilities Index | one score summarising the benchmarks below — an index, not a percentage | 142.7 |
| GPQA Diamond | graduate-level science questions | 75.8% ± 3.0 |
| AIME | competition mathematics | 73.3% ± 6.7 |
| SimpleQA | short factual questions — the test for making things up | 10.4% ± 1.0 |
Scores by Epoch AI, CC BY 4.0. The ± is the margin of error: models inside each other's margins are tied, not ranked. Epoch's notes on this row: source “epoch”, accessibility “Open weights (restricted use)”.
Dates
Using it
In the 00 app — pick it per agent, and per tier, then build your own agents on it. Get 00.
As a drop-in API — the same model at an OpenAI-compatible endpoint. Two settings:
- Create a workspace API key in the Overblast console — usage bills that workspace's AI tokens, at the prices on this page.
- Point your base URL at
https://brain.deployd.network/ai/v1. Chat completions with streaming, embeddings,/images,/audio/transcriptionsand/videos.
curl https://brain.deployd.network/ai/v1/chat/completions \
-H "Authorization: Bearer ob_live_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemma-4-31b-it",
"messages": [{ "role": "user", "content": "Hello" }]
}'
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