AI model comparison

Gemini 2.0 Flash-Lite vs google/gemma-4-31B-it

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

Gemini 2.0 Flash-Lite from Google lists 1.05M context, 8.19K maximum output, $0.075 input per 1M tokens, $0.30 output per 1M tokens. google/gemma-4-31B-it from google lists 262.14K context, 32.77K maximum output. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Google

Gemini 2.0 Flash-Lite

Gemini 2.0 Flash-Lite from Google: Low-latency Gemini model for high-volume multimodal and agent workloads.

Context
1.05M
Max output
8.19K
Input / 1M tokens
$0.075
Output / 1M tokens
$0.30

Accepts

  • Text input
  • Image input
  • Audio input
  • Video input
  • PDF input

Produces

  • Text output
VS

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

At a glance

Key differences

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

Gemini 2.0 Flash-Lite

  • Context capacity: 1.05M

google/gemma-4-31B-it

  • Maximum output: 32.77K

Context capacity

Higher listed limit

Gemini 2.0 Flash-Lite:1.05M

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

Gemini 2.0 Flash-Lite

Maximum output

Higher listed limit

Gemini 2.0 Flash-Lite:8.19K

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

google/gemma-4-31B-it

Specifications

Pricing, limits and capabilities

Specifications for Gemini 2.0 Flash-Lite and google/gemma-4-31B-it. Higher limits and lower prices describe these figures only.
SpecificationGemini 2.0 Flash-Litegoogle/gemma-4-31B-it
ProviderGooglegoogle
Listed pricing routeGooglegoogle
Model familygemini-flash-lite—
Accepted inputstext, image, audio, video, pdfimage, text
Produced outputstexttext
Context window1.05MHigher262.14K
Max output8.19K32.77KHigher
Input price / 1M$0.075—
Output price / 1M$0.30—
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputDocumentedNot documented
LicenseProprietaryNot documented

Workload guidance

Which model should you choose?

Consider Gemini 2.0 Flash-Lite if you need larger context. Consider google/gemma-4-31B-it if you need larger maximum output. google/gemma-4-31B-it offers downloadable weights; Gemini 2.0 Flash-Lite 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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