OpenAI: GPT-5.1-Codex-Mini

Public pricingIntelligence 81/100Large memoryVisieDiep redenerenToolgebruik

OpenAI: GPT-5.1-Codex-Mini is een multimodaal-model voor coderen, debuggen en technisch werk. Het combineert multimodale invoerverwerking en sterke codeprestaties, een context van 400K tokens en een laag geprijsd-profiel voor betrouwbaar werk in coding, debugging, and technical writing.

Input

$0.25/1M

Output

$2.00/1M

Cached

$0.03/1M

Batch

$0.13/1M

Calculate your GPT-5.1-Codex-Mini bill.

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What would GPT-5.1-Codex-Mini cost you?

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Technical specifications

GPT-5.1-Codex-Mini at a glance.

Memory

400,000

tokens

Max reply

128,000

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

tiktoken-o200k

Released

Nov 2025

Training cutoff

Jul 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • gpqa_diamond

    81.3

  • humaneval

    83.6

  • mmlu

    82

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GPT-5.1-Codex-Mini

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

GPT-5.1-Codex-Mini — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GPT-5.1-Codex-Mini costs roughly $99 per month. Input is $0.25 /1M tokens and output is $2.00 /1M tokens.
GPT-5.1-Codex-Mini has a 400,000-token context window (large memory — an entire book or large codebase). That means you can fit about 75,000 words of input and history in a single call.
Beyond text generation, GPT-5.1-Codex-Mini supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GPT-5.1-Codex-Mini was released in November 2025, with training data cut off around July 2025.
Models in a similar class include GPT-5 Mini, GPT-5.4 Nano, GPT-5 Nano. The "Similar models" section below this FAQ links into each.

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