GPT-5.2 Codex (xhigh)
GPT-5.2 Codex (xhigh) is an API model from OpenAI. It’s positioned for general text tasks—work that benefits from iteration, not just one-shot answers.
Intelligence
Top 10%
Speed
Medium
116 tok/s output
Cost
High
$1.75 in / $14.00 out
Context
400K
Up to 400,000 tokens
How are Intelligence, Speed & Cost bucketed?
Intelligence and Speed buckets are percentile ranks on
Artificial Analysis. Cost buckets are fixed dollar
thresholds keyed off output-token price ($/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 — tuned for SWE-bench Pro / coding agents.
- Pro variant hits 93.2% on GPQA Diamond and 40.3% on FrontierMath Tier 1-3 — new state-of-the-art on hard math/science
- 400K-token context window — biggest OpenAI window yet, designed for long-running agents
- GDPval state-of-the-art — outperforms industry professionals on well-specified tasks across 44 occupations
Best use cases
- Hardest math/science research where Pro/Thinking modes pull ahead of every competitor
- Long-running professional agent workflows (400K context + GDPval-leading task quality)
- Knowledge work spanning 44 occupations — spreadsheets, presentations, multi-step projects
Tools to try
Not ideal for
- Casual chat or creative writing — Instant tier feels muted compared to GPT-5.1
- Cost-sensitive bulk inference — 40% price hike vs 5.1 with no automatic upgrade win
Model Evolution
GPT is OpenAI's language model family.
GPT-5.1
Nov 2025
GPT-5.2
Dec 2025
GPT-5.2 Codex (xhigh)
Jan 2026
GPT 5.3
Feb 2026
GPT-5.3 Instant
Mar 2026