SSyncDev

AI model comparison

Gemini 2.0 Flash vs o3-mini

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

Gemini 2.0 Flash from Google lists 1.05M context, 8.19K maximum output, $0.10 input per 1M tokens, $0.40 output per 1M tokens. o3-mini from OpenAI lists 200K context, 100K maximum output, $1.10 input per 1M tokens, $4.40 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

Gemini 2.0 Flash

Gemini 2.0 Flash from Google: Earlier Gemini Flash workhorse for responsive multimodal apps and tool use.

Context
1.05M
Max output
8.19K
Input / 1M tokens
$0.10
Output / 1M tokens
$0.40

Accepts

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

Produces

  • Text output
Full model profilegithub.com ↗
VS

OpenAI

o3-mini

o3-mini from OpenAI: Smaller o-series reasoner for economical coding, math, and planning tasks.

Context
200K
Max output
100K
Input / 1M tokens
$1.10
Output / 1M tokens
$4.40

Accepts

  • Text input

Produces

  • Text output
Full model profilegithub.com ↗

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

  • Context capacity: 1.05M
  • Input price: $0.10
  • Output price: $0.40

o3-mini

  • Maximum output: 100K

Context capacity

Higher listed limit

Gemini 2.0 Flash:1.05M

o3-mini:200K

Gemini 2.0 Flash

Maximum output

Higher listed limit

Gemini 2.0 Flash:8.19K

o3-mini:100K

o3-mini

Input price

Lower listed token rate

Gemini 2.0 Flash:$0.10

o3-mini:$1.10

Gemini 2.0 Flash

Output price

Lower listed token rate

Gemini 2.0 Flash:$0.40

o3-mini:$4.40

Gemini 2.0 Flash

Specifications

Pricing, limits and capabilities

Specifications for Gemini 2.0 Flash and o3-mini. Higher limits and lower prices describe these figures only.
SpecificationGemini 2.0 Flasho3-mini
ProviderGoogleOpenAI
Listed pricing routeGoogleOpenAI
Model familygemini-flasho-mini
Accepted inputstext, image, audio, video, pdftext
Produced outputstexttext
Context window1.05MHigher200K
Max output8.19K100KHigher
Input price / 1M$0.10Lower$1.10
Output price / 1M$0.40Lower$4.40
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedNot documented
Audio inputDocumentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Gemini 2.0 Flash if you need larger context or a lower listed input rate or a lower listed output rate. Consider o3-mini if you need larger maximum output. 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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