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Google: Gemma 4 31B

Source description (English)

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...

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
262,144 tokens
Maximum output
16,384 tokens
Architecture
text+image+video->text
Tokenizer
Gemma
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.09
per 1M tokens
Output
$0.34
per 1M tokens
Cache read
$0.05
per 1M tokens
API

Model configuration

Default parameters

temperature
1
top_p
0.95
top_k
64

Reasoning

Reasoning required
No
Default parameters
No
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body 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!"}]}'
Capabilities

Input → Output

Input
imagetextvideo
Output
text
Reasoning

No

API

Supported API parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Available providers

15 providers

Checked: September 7, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

DeepInfra

fp4
Context
262K
Maximum output
16K
Input
$0.09
Output
$0.34
Cache read
$0.05
Cache write
Not provided

CoreWeave

fp4
Context
262K
Maximum output
236K
Input
$0.1
Output
$0.34
Cache read
$0.1
Cache write
Not provided

Venice

bf16
Context
256K
Maximum output
8K
Input
$0.12
Output
$0.36
Cache read
$0.09
Cache write
Not provided

Chutes

fp4
Context
131K
Maximum output
66K
Input
$0.12
Output
$0.37
Cache read
$0.012
Cache write
Not provided

DeepInfra

fp8
Context
262K
Maximum output
16K
Input
$0.13
Output
$0.38
Cache read
Not provided
Cache write
Not provided

SiliconFlow

fp8
Context
262K
Maximum output
236K
Input
$0.13
Output
$0.4
Cache read
Not provided
Cache write
Not provided

Crusoe

Not provided
Context
262K
Maximum output
262K
Input
$0.14
Output
$0.4
Cache read
$0.14
Cache write
Not provided

Friendli

Not provided
Context
262K
Maximum output
8K
Input
$0.14
Output
$0.4
Cache read
Not provided
Cache write
Not provided

Novita

bf16
Context
262K
Maximum output
131K
Input
$0.14
Output
$0.4
Cache read
Not provided
Cache write
Not provided

Parasail

fp8
Context
262K
Maximum output
236K
Input
$0.15
Output
$0.4
Cache read
$0.06
Cache write
Not provided

DeepInfra

fp8
Context
131K
Maximum output
8K
Input
$0.27
Output
$0.76
Cache read
Not provided
Cache write
Not provided

SambaNova

Not provided
Context
131K
Maximum output
118K
Input
$0.38
Output
$1.15
Cache read
Not provided
Cache write
Not provided

Together

Not provided
Context
262K
Maximum output
236K
Input
$0.39
Output
$0.97
Cache read
Not provided
Cache write
Not provided

ModelRun

fp4
Context
262K
Maximum output
236K
Input
$0.75
Output
$1
Cache read
$0.75
Cache write
Not provided

Cerebras

fp16
Context
131K
Maximum output
41K
Input
$0.99
Output
$1.49
Cache read
$0.99
Cache write
Not provided
google

4 models

All models
google logogoogle

Google: Gemini 3.8 Flash

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Context
1.0M
Input
text · image · video · file · audio
Output
text
Input: $0.75Output: $3.75per 1M tokens
View model details →
google logogoogle

Google: Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Context
1.0M
Input
text · image · video · file · audio
Output
text
Input: $0.375Output: $1.875per 1M tokens
View model details →
google logogoogle

Google: Gemini 3.7 Flash

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Context
1.0M
Input
text · image · video · file · audio
Output
text
Input: $0.75Output: $3.75per 1M tokens
View model details →
google logogoogle

Google: Gemini 3.7 Flash (batch)

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Context
1.0M
Input
text · image · video · file · audio
Output
text
Input: $0.375Output: $1.875per 1M tokens
View model details →