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OpenAI · Efficient

GPT 5.1 Codex Mini

Added Nov 13, 2025

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Use in the app

Lightweight GPT-5.1 Codex path.

  • Reasoning
  • Vision
Input
Text, Images
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.25
Output
$2.00
Cache read
$0.025

Reference prices as published by the model provider. API example

Specifications

Context window
400K
Max output
128K
Average output (7 days)
136 tokens
Longer than 14% of 468 models

Side by side

GPT 5.1 Codex Mini compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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GPT 5.1 Codex MiniOpenAIThis modelMiniMax M2.1MiniMaxRemove
ProviderOpenAIMiniMax
Discovery tierEfficientOpen weights
AddedNov 13, 2025Jan 20, 2025
Limits
Context window400KBest200K
Max output128K131.07KBest
Average output136 tokens359 tokens
Pricing, USD per 1M tokens
Input$0.25Best$0.30
Output$2.00$1.20Best
Cache read$0.025Best$0.03
Benchmark indexes
Intelligence Index20.420.9Best
Math Index91.7Best82.7
Capabilities
ReasoningYesYes
ToolsNoYes
VisionYesNo
Structured outputNoYes
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • GPT 5.1 Codex Mini
  • MiniMax M2.1

Intelligence Index

  • GPT 5.1 Codex Mini20.4
  • MiniMax M2.120.9

GPT 5.1 Codex Mini tested at high reasoning effort

GPT 5.1 Codex Mini: Better than 50% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • GPT 5.1 Codex Mini: 91.7Top
    • MiniMax M2.1: 82.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT 5.1 Codex Mini: 66.7%
    • MiniMax M2.1: 67.7%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT 5.1 Codex Mini: 18.5%
    • MiniMax M2.1: 23.2%Top
  • GPQA Diamond

    Graduate-level science questions

    • GPT 5.1 Codex Mini: 81.3%
    • MiniMax M2.1: 83.0%Top
  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GPT 5.1 Codex Mini: 82.0%
    • MiniMax M2.1: 87.5%Top
  • IFBench

    Following precise output instructions

    • GPT 5.1 Codex Mini: 67.9%
    • MiniMax M2.1: 69.9%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GPT 5.1 Codex Mini: 83.6%Top
    • MiniMax M2.1: 81.0%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GPT 5.1 Codex Mini: 91.7%Top
    • MiniMax M2.1: 82.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GPT 5.1 Codex Mini: 33.3%Top
    • MiniMax M2.1: 28.8%
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GPT 5.1 Codex Mini: 62.9%
    • MiniMax M2.1: 85.4%Top
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT 5.1 Codex Mini: 66.7%
    • MiniMax M2.1: 67.7%Top

Scores from Artificial Analysis, updated Oct 26, 2026. GPT 5.1 Codex Mini was tested at high reasoning effort; compare scores measured at the same effort.Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5.1-codex-mini",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="openai/gpt-5.1-codex-mini",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

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