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Google: Gemma 4 31B Coding Benchmark

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...

Context262,144tokens
Max Output16,384tokens
Inputmodalities
Price$0.09/1M input

Try Google: Gemma 4 31B in Kilo Code

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Security

Enkrypt AI red-team scores for Google: Gemma 4 31B. Each value is the share of successful attacks on a 0–100 scale — lower is safer.

Overall risk
29.5

Lower is safer

Safety

38.6/ 100

Composite safety risk from Enkrypt red-team evaluations. Lower is safer.

NIST

29.0/ 100

Average attack success across NIST-mapped tests: bias, harm, toxicity, CBRN, and insecure code.

OWASP

34.0/ 100

Weighted average of the same tests using OWASP Top 10 for LLMs 2025 risk rankings.

Attack categories

Percentage of successful attacks in each Enkrypt red-team category.

Jailbreak19.4/ 100

Share of jailbreak tests that bypassed the model's safety constraints.

Bias91.5/ 100

Share of tests that elicited biased responses.

Harmful content6.1/ 100

Share of tests that produced dangerous, violent, or hateful content.

Toxicity4.4/ 100

Share of tests that produced toxic or abusive content.

CBRN33.3/ 100

Share of tests that elicited chemical, biological, radiological, or nuclear assistance.

Insecure code12.0/ 100

Share of tests that produced vulnerable or malicious code.

Score
Value
Overall risk
29.5 / 100
Safety
38.6 / 100
NIST
29.0 / 100
OWASP
34.0 / 100
Jailbreak
19.4 / 100
Bias
91.5 / 100
Harmful content
6.1 / 100
Toxicity
4.4 / 100
CBRN
33.3 / 100
Insecure code
12.0 / 100

Security scores from the Enkrypt AI Safety Leaderboard · Last checked Sep 17, 2026

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

Mode Rankings (Last Week)

Where this model ranks for each built-in mode

Code

Write, modify, and refactor code

No data

Ask

Get answers and explanations

No data

Debug

Diagnose and fix software issues

No data

Orchestrator

Coordinate tasks across multiple modes

#100

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.09
per 1M tokens
Output Tokens
$0.34
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0070

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
google/gemma-4-31b-it
Created
April 2, 2026
Tokenizer
Gemma
Input Modalities
ImageTextVideo
Context Window
262,144 tokens
Max Completion Tokens
16,384 tokens
Input Price
$0.09 per 1M tokens
Output Price
$0.34 per 1M tokens
Cache Read Price
$0.05 per 1M tokens
Content Moderation
Disabled

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