AI model comparison

Deep Research Max Preview vs GPT-5.1 Codex mini

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

Deep Research Max Preview from Google lists 1.05M context, 65.54K maximum output, $2.00 input per 1M tokens, $12.00 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

Deep Research Max Preview

Deep Research Max Preview from Google: Maximum-comprehensiveness agentic researcher for multi-step investigation, synthesis, and cited reports.

Context
1.05M
Max output
65.54K
Input / 1M tokens
$2.00
Output / 1M tokens
$12.00

Accepts

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

Produces

  • Text output
  • Image 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.

Deep Research Max Preview

  • Context capacity: 1.05M

GPT-5.1 Codex mini

  • Maximum output: 128K
  • Input price: $0.25
  • Output price: $2.00

Context capacity

Higher listed limit

Deep Research Max Preview:1.05M

GPT-5.1 Codex mini:400K

Deep Research Max Preview

Maximum output

Higher listed limit

Deep Research Max Preview:65.54K

GPT-5.1 Codex mini:128K

GPT-5.1 Codex mini

Input price

Lower listed token rate

Deep Research Max Preview:$2.00

GPT-5.1 Codex mini:$0.25

GPT-5.1 Codex mini

Output price

Lower listed token rate

Deep Research Max Preview:$12.00

GPT-5.1 Codex mini:$2.00

GPT-5.1 Codex mini

Specifications

Pricing, limits and capabilities

Specifications for Deep Research Max Preview and GPT-5.1 Codex mini. Higher limits and lower prices describe these figures only.
SpecificationDeep Research Max PreviewGPT-5.1 Codex mini
ProviderGoogleOpenAI
Listed pricing routeGoogleOpenAI
Model familygemini-progpt-codex
Accepted inputstext, image, video, audio, pdftext, image
Produced outputstext, imagetext
Context window1.05MHigher400K
Max output65.54K128KHigher
Input price / 1M$2.00$0.25Lower
Output price / 1M$12.00$2.00Lower
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Deep Research Max Preview if you need larger context. Consider GPT-5.1 Codex mini if you need larger maximum output or a lower listed input rate or a lower listed output rate. 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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