SSyncDev

AI model comparison

Gemini 2.0 Flash-Lite vs GPT-5.1 Codex mini

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. 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

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
Full model profilegithub.com ↗
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
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-Lite

  • Context capacity: 1.05M
  • Input price: $0.075
  • Output price: $0.30

GPT-5.1 Codex mini

  • Maximum output: 128K

Context capacity

Higher listed limit

Gemini 2.0 Flash-Lite:1.05M

GPT-5.1 Codex mini:400K

Gemini 2.0 Flash-Lite

Maximum output

Higher listed limit

Gemini 2.0 Flash-Lite:8.19K

GPT-5.1 Codex mini:128K

GPT-5.1 Codex mini

Input price

Lower listed token rate

Gemini 2.0 Flash-Lite:$0.075

GPT-5.1 Codex mini:$0.25

Gemini 2.0 Flash-Lite

Output price

Lower listed token rate

Gemini 2.0 Flash-Lite:$0.30

GPT-5.1 Codex mini:$2.00

Gemini 2.0 Flash-Lite

Specifications

Pricing, limits and capabilities

Specifications for Gemini 2.0 Flash-Lite and GPT-5.1 Codex mini. Higher limits and lower prices describe these figures only.
SpecificationGemini 2.0 Flash-LiteGPT-5.1 Codex mini
ProviderGoogleOpenAI
Listed pricing routeGoogleOpenAI
Model familygemini-flash-litegpt-codex
Accepted inputstext, image, audio, video, pdftext, image
Produced outputstexttext
Context window1.05MHigher400K
Max output8.19K128KHigher
Input price / 1M$0.075Lower$0.25
Output price / 1M$0.30Lower$2.00
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Gemini 2.0 Flash-Lite if you need larger context or a lower listed input rate or a lower listed output rate. Consider GPT-5.1 Codex 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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