Gemma 4 31B — Google | Modeldex

Gemma 4 31B

Active45.1Basic

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...

VisionLong contextBudget

API release

Apr 2, 2026(this month)

Intelligence Index

45.1/ 100

Basicweighted across 4 benchmarks

Reasoning: 69.7
Instruction following: 47.0
Long context: 18.5

Computed as the mean of per-category averages across MMLU, GPQA, SWE-bench, HumanEval, MATH, GSM8K, AIME, Aider Polyglot and more. See each benchmark for methodology.

Overview

History

Gemma 4 31B became available via the Google API on 2026-04-02.

Training & availability

Google has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 262K tokens.
Input modalities: image, text, video.

Recommended for: vision, long-context, cheap.

Pricing

Input: $0.1300 per 1M tokens
Output: $0.3800 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the google API. Copy, paste, replace the key.

from google import genai

client = genai.Client(api_key="...")
resp = client.models.generate_content(
    model="gemma-4.31b-it",
    contents="Explain quantum computing in one sentence.",
)
print(resp.text)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.13/1M

Output tokens / month2.0M

@ $0.38/1M

Input cost

$0.65

5.0M × $0.13/1M

Output cost

$0.76

2.0M × $0.38/1M

Total / month

$1.41

$16.92 / year

Popularity

Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.

🤗

HuggingFace downloads

3.8M/ month

HuggingFace likes

2.1K

Benchmarks

Benchmark	Score	Source
GPQA DiamondReasoning	69.7% accuracy	Third-party llm-stats.com
LongBench v2Long context	3.89%	Third-party llm-stats.com
MRCR v2Long context	33.17%	Third-party llm-stats.com

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Solid value

Competent capability at a low price.

Quality percentile: 51%
Effective price: $0.318/1M
Pricing breakdown: $0.13/1M in
$0.38/1M out

Community ratings

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