AI model comparison

google/gemma-4-31B-it vs GPT-5.1 Codex mini

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

google/gemma-4-31B-it from google lists 262.14K context, 32.77K maximum output. GPT-5.1 Codex mini from OpenAI lists 400K context, 128K maximum output, $0.25 input per 1M tokens, $2.00 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

google

google/gemma-4-31B-it

google/gemma-4-31B-it is a source-linked Hugging Face repository assigned to Image-text-to-text. Its recorded task interface accepts image, text and produces text.

Context
262.14K
Max output
32.77K

Accepts

  • Image input
  • Text input

Produces

  • Text output
VS

OpenAI

GPT-5.1 Codex mini

GPT-5.1 Codex mini from OpenAI: Coding-optimized GPT model for repository edits, reviews, and agentic software work.

Context
400K
Max output
128K
Input / 1M tokens
$0.25
Output / 1M tokens
$2.00

Accepts

  • Text input
  • Image input

Produces

  • Text output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

GPT-5.1 Codex mini

  • Context capacity: 400K
  • Maximum output: 128K

Context capacity

Higher listed limit

google/gemma-4-31B-it:262.14K

GPT-5.1 Codex mini:400K

GPT-5.1 Codex mini

Maximum output

Higher listed limit

google/gemma-4-31B-it:32.77K

GPT-5.1 Codex mini:128K

GPT-5.1 Codex mini

Specifications

Pricing, limits and capabilities

Specifications for google/gemma-4-31B-it and GPT-5.1 Codex mini. Higher limits and lower prices describe these figures only.
Specificationgoogle/gemma-4-31B-itGPT-5.1 Codex mini
ProvidergoogleOpenAI
Listed pricing routegoogleOpenAI
Model family—gpt-codex
Accepted inputsimage, texttext, image
Produced outputstexttext
Context window262.14K400KHigher
Max output32.77K128KHigher
Input price / 1M—$0.25
Output price / 1M—$2.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseNot documentedProprietary

Workload guidance

Which model should you choose?

Consider GPT-5.1 Codex mini if you need larger context or larger maximum output. google/gemma-4-31B-it offers downloadable weights; GPT-5.1 Codex mini is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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