AI model comparison

Gemini 2.5 Flash vs GPT-5.3 Codex

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

Gemini 2.5 Flash from Google lists 1.05M context, 65.54K maximum output, $0.30 input per 1M tokens, $2.50 output per 1M tokens. GPT-5.3 Codex from OpenAI lists 400K context, 128K maximum output, $1.75 input per 1M tokens, $14.00 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 2.5 Flash

Gemini 2.5 Flash from Google: Fast Gemini workhorse for multimodal apps where latency and price matter.

Context
1.05M
Max output
65.54K
Input / 1M tokens
$0.30
Output / 1M tokens
$2.50

Accepts

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

Produces

  • Text output
VS

OpenAI

GPT-5.3 Codex

GPT-5.3 Codex from OpenAI: Coding-optimized GPT model for repository edits, reviews, and agentic software work.

Context
400K
Max output
128K
Input / 1M tokens
$1.75
Output / 1M tokens
$14.00

Accepts

  • Text input
  • Image input
  • PDF 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 2.5 Flash

  • Context capacity: 1.05M
  • Input price: $0.30
  • Output price: $2.50

GPT-5.3 Codex

  • Maximum output: 128K

Context capacity

Higher listed limit

Gemini 2.5 Flash:1.05M

GPT-5.3 Codex:400K

Gemini 2.5 Flash

Maximum output

Higher listed limit

Gemini 2.5 Flash:65.54K

GPT-5.3 Codex:128K

GPT-5.3 Codex

Input price

Lower listed token rate

Gemini 2.5 Flash:$0.30

GPT-5.3 Codex:$1.75

Gemini 2.5 Flash

Output price

Lower listed token rate

Gemini 2.5 Flash:$2.50

GPT-5.3 Codex:$14.00

Gemini 2.5 Flash

Specifications

Pricing, limits and capabilities

Specifications for Gemini 2.5 Flash and GPT-5.3 Codex. Higher limits and lower prices describe these figures only.
SpecificationGemini 2.5 FlashGPT-5.3 Codex
ProviderGoogleOpenAI
Listed pricing routeGoogleOpenAI
Model familygemini-flashgpt-codex
Accepted inputstext, image, audio, video, pdftext, image, pdf
Produced outputstexttext
Context window1.05MHigher400K
Max output65.54K128KHigher
Input price / 1M$0.30Lower$1.75
Output price / 1M$2.50Lower$14.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Gemini 2.5 Flash if you need larger context or a lower listed input rate or a lower listed output rate. Consider GPT-5.3 Codex 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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