GPT-5.1 Codex mini (high)
GPT-5.1 Codex mini (high) is an API model from OpenAI. It’s positioned for general text tasks—work that benefits from iteration, not just one-shot answers.
Intelligence
Good
Speed
Top 10%
211 tok/s output
Cost
Moderate
$0.25 in / $2.00 out
Context
400K
Up to 400,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on
Artificial Analysis. Cost buckets are fixed dollar
thresholds keyed off output-token price ($/M out).
Intelligence
- Top 1%≤ 1%
- Top 5%≤ 5%
- Top 10%≤ 10%
- Good≤ 25%
- Medium≤ 50%
- Below avg> 50%
Speed
- Top 1%≥ 345 tok/s
- Top 5%≥ 237 tok/s
- Top 10%≥ 196 tok/s
- Good≥ 146 tok/s
- Medium≥ 90 tok/s
- Slow< 90 tok/s
Cost
- Freeopen weights · self-host
- Low< $1 / M out
- Moderate$1–5 / M out
- High≥ $5 / M out
Core Capabilities
Coding
Strong real-world software engineering.
Long Documents
Handles entire codebases, books, and multi-doc RAG.
Context Window
400k tokens
≈ 308+ pages
4k Chat 聊天
32k Long docs 长文档
128k Books 整本书
400k This model 本模型
1M Codebase 整个代码库
10M
Availability
API
Available
Product / App
Not available
Open Source
Not released
Enterprise
Contact sales
Pricing Model
Pay per token
Input and output billed separately.
Pay-per-token Capability / Performance
Where this model sits relative to the middle 60% of models in the tree. All scores are 0–10 (higher is better).
Lower 20% Upper 80% This model
Context / memory
Context window size · log-scaled
6.0
9.0
7.7
Lower 20% 20th percentile — 20% of models score below this This model Where the current model lands Upper 80% 80th percentile — only 20% of models score above this
Percentile boundaries are computed across every model in the tree that reports the underlying benchmark for each capability.
What it feels like
- Codex-specialised variant of GPT-5.1.
- Adaptive thinking — auto-tunes reasoning depth per task; not a fixed-tier release
- 2-3x faster than GPT-5 on tool-heavy reasoning at similar or better quality (Balyasny eval)
- Uses ~half the tokens of leading competitors on agent flows for the same answer
Best use cases
- Production agent workflows where token cost / latency dominate
- PR review and code-discussion bots (CodeRabbit picked it as default)
- Cursor / Devin-style developer tools where adaptive depth matters
Tools to try
Not ideal for
- Hardest research-grade reasoning — GPT-5.2 Thinking and Pro are stronger
- Agentic-coding leaderboards on raw SWE-bench — Claude Opus 4.5 / 4.6 still lead
Model Evolution
GPT is OpenAI's language model family.
GPT-5.1
Nov 2025
GPT-5.2
Dec 2025
GPT-5.1 Codex mini (high)
Jan 2026
GPT 5.3
Feb 2026
GPT-5.3 Instant
Mar 2026