Gemma 4 31B It

ChatInput: ImageInput: TextReleased Apr 2, 2026

Built by Google · United States · deepmind.google

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...

How to use

model: "google/gemma-4-31b-it"

Cap quality here and save

Hard questions go to this model, easy ones drop to something cheaper. Set a savings target (0–0.8) and the router tunes itself until realized savings converge on it.

{
  "model": "celon/auto",
  "celon": {
    "anchor": "google/gemma-4-31b-it",
    "savings_target": 0.4
  }
}

Naming a model directly gets you that model — savings controls don't apply.

Context

262K

Max output

262K

Input $/1M

$0.13

Output $/1M

$0.38

Features

Tool callingJSON

Serving providers

DeepInfraNovitaFriendliW&B Inference

Providers

Price, latency, and uptime per provider serving this model. Celon routes each request to the fastest and cheapest of them. Click a row for regions and data policies.

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Performance

Benchmark quality scores, and measured speed per provider.

Quality

SciCodeScientific code generation

43.4%

SimpleQA VerifiedFactual accuracy

9.6%

At each model's best reasoning effort. Benchmarks it wasn't run on are omitted.

Speed

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