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Google: Gemma 4 31B (batch)

The Google model, Gemma 4 31B (batch), is a versatile tool that can process multiple input modalities: image, text, and video. It has a substantial context length of 262144, allowing for extensive input processing. This model also supports tools and reasoning capabilities. For users seeking a balance between performance and cost, this model might be worth considering. With a blended benchmark score of 56.5 across four independent benchmarks, it demonstrates solid performance in various areas. However, its price point is not particularly low, with $0.97 per million output tokens. Nevertheless, for those willing to invest, the model's capabilities and pricing may make it a suitable choice for specific tasks.

Quality Score
100/100
price + capability + benchmarks
Input Price
$0.39
per 1M tokens · checked 2026-09-04
Output Price
$0.97
per 1M tokens · checked 2026-09-04
Context Window
262,144
tokens

Benchmark results

Independent, published benchmarks. Blended score 56.5 across 4 benchmarks, last refreshed 2026-09-04. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 49.0
AI Index Coding software engineering tasks 71.7
AI Index Agentic multi-step tool-using tasks 23.7
EQ-Bench emotional understanding in dialogue 70.8
Model ID
google/gemma-4-31b-it:batch
Vendor
google
Released
April 2026
Tokenizer
Gemma
Input Modalities
image, text, video
Output Modalities
text
Max Output
235,929 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
✓ supported
Vision
✓ accepts images
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.39/M input and $0.97/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.01
Classify 1,000 customer emails 500k in / 50k out $0.24
A month of a busy support chatbot 5M in / 2M out $3.89

Similar models

Quick answers

How much does Google: Gemma 4 31B (batch) cost?
$0.39 per million input tokens and $0.97 per million output tokens.
What is Google: Gemma 4 31B (batch)'s context window?
262,144 tokens, roughly 393 pages of text in a single request.
Does Google: Gemma 4 31B (batch) support tool calling?
It supports tool calling, structured output, a reasoning mode.
Can Google: Gemma 4 31B (batch) process images?
Yes, it accepts image input.