How much does Gemma 4 31B cost?

Gemma 4 31B costs $0.09 per million input tokens and $0.34 per million output tokens. For a typical conversation (~2,000 tokens), that's approximately $0.001 per message.

What benchmarks has Gemma 4 31B been tested on?

Gemma 4 31B has been evaluated on 8 benchmarks. Top scores: LiveBench — Mathematics: 73.9, LiveBench — Language: 71.3, LiveBench — If: 67.6.

Is Gemma 4 31B open source?

Yes, Gemma 4 31B is open source.

How does Gemma 4 31B compare to GPT-4 (older v0314)?

Gemma 4 31B has an average score of 63.9 while GPT-4 (older v0314) scores 63.7. Gemma 4 31B outperforms GPT-4 (older v0314) overall. Gemma 4 31B costs $0.09/1M input vs GPT-4 (older v0314) at $30.00/1M input. See full comparison →

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Gemma 4 31B

Name: Gemma 4 31B
Price: 0.09 USD
Author: Google DeepMind

by Google DeepMind · Released Apr 2026

Open SourceMultimodal

63.9

avg score

Rank #68

Compare

Better than 75% of all models

Context

262K tokens (~131 books)

Input $/1M

$0.09

Output $/1M

$0.34

Type

multimodal

License

Open Source

Benchmarks

8 tested

Data updated today

About

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...

Tested on 8 benchmarks with 61.6% average. Top scores: LiveBench — Mathematics (73.9%), LiveBench — Language (71.3%), LiveBench — If (67.6%).

Capabilities

coding

50.2

#84 globally

reasoning

59.1

#48 globally

math

73.9

#33 globally

knowledge

61.6

#50 globally

language

69.5

#78 globally

Benchmark Scores

Compare All

Tested on 8 benchmarks · Ranked across 5 categories

Score Distribution (all 274 models)

0255075100

▲ You are here

codingCompare coding →

LiveBench — Coding

Regularly refreshed coding problems that avoid data contamination. New problems added monthly to prevent memorization.

60.3—

LiveBench — Agentic Coding

LiveBench coding tasks that require multi-step reasoning and tool use. Tests planning and execution of complex coding workflows.

40.0—

reasoningCompare reasoning →

LiveBench — Reasoning

Regularly refreshed reasoning problems testing logical deduction, spatial reasoning, and analytical thinking.

59.4—

LiveBench — Data Analysis

Fresh data analysis tasks testing ability to interpret tables, charts, and statistical data.

58.8—

mathCompare math →

LiveBench — Mathematics

Regularly updated math problems that test numerical reasoning, algebra, calculus, and combinatorics.

73.9—

Quick compare:

vs GPT-4 (older v0314)

vs Meta Llama 3 8B

vs GPT-5.5

Excellent (85+) Good (70-85) Average (50-70) Below (<50)

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Frequently Asked Questions

Gemma 4 31B is an open-source multimodal AI model by Google DeepMind, released in April 2026. It has an average benchmark score of 63.9. Context window: 262K tokens.

Benchmarks

LiveBench — Mathematics LiveBench — Language LiveBench — If LiveBench — Overall LiveBench — Coding

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Gemma 4 31B

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