SSyncDev

AI model comparison

Claude Opus 4 (latest) vs GPT-5.1 Codex mini

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

Claude Opus 4 (latest) from Anthropic lists 200K context, 32K maximum output. 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

Anthropic

Claude Opus 4 (latest)

Claude Opus 4 (latest) from Anthropic: Flagship Claude model for deep reasoning, coding, and long-horizon agents.

Context
200K
Max output
32K

Accepts

  • Text input
  • Image 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.

GPT-5.1 Codex mini

  • Context capacity: 400K
  • Maximum output: 128K

Context capacity

Higher listed limit

Claude Opus 4 (latest):200K

GPT-5.1 Codex mini:400K

GPT-5.1 Codex mini

Maximum output

Higher listed limit

Claude Opus 4 (latest):32K

GPT-5.1 Codex mini:128K

GPT-5.1 Codex mini

Specifications

Pricing, limits and capabilities

Specifications for Claude Opus 4 (latest) and GPT-5.1 Codex mini. Higher limits and lower prices describe these figures only.
SpecificationClaude Opus 4 (latest)GPT-5.1 Codex mini
ProviderAnthropicOpenAI
Listed pricing routeAnthropicOpenAI
Model familyclaude-opusgpt-codex
Accepted inputstext, image, pdftext, image
Produced outputstexttext
Context window200K400KHigher
Max output32K128KHigher
Input price / 1M—$0.25
Output price / 1M—$2.00
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider GPT-5.1 Codex mini if you need larger context or 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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