Warp

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

Just add the suffix. Hard questions still come back from this model; only easy ones drop to something cheaper, and nothing pricier than it gets used.

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

Sets no behavior — whatever your key already stores stays in effect.

Without the suffix, the bare name always goes to this model — no routing, so nothing saved.

Context

262K

Max output

262K

Input $/1M

$0.13

Output $/1M

$0.38

Features

Tool callingJSON

Providers

DeepInfraNovitaFriendliTogetherGMI CloudVeniceW&B InferenceDigitalOcean

Providers

Price, latency, and uptime per provider serving this model. Warp tries them in order of how each host has just been behaving, moving to the next on failure. 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

Speed

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Parameter support

What Warp actually does with each parameter when you call this model. The answer differs by serving provider and by API surface.

Provider