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GPT-5.2 (xhigh)

OpenAIGPTProprietary

Description

GPT‑5.2 introduces substantial gains in professional knowledge work, outperforming experts on GDPval with 70.9% wins or ties, and setting new highs in coding (SWE‑Bench Pro 55.6%), science (GPQA Diamond ~92–93%), math (AIME 2025: 100%), long‑context accuracy up to 256k tokens, and reliable tool‑calling (Tau2 Telecom 98.7%). It rolls out as Instant, Thinking, and Pro—faster, more structured, and less error‑prone—priced at $1.75/1M input and $14/1M output tokens, with Pro variants supporting xhigh reasoning for top‑quality, end‑to‑end execution.

Release Date
2025-12-11
Parameters
—
Context Length
400K
Modalities
image, text

Capability Radar

49
general
89
coding
98
reasoning
74
science
70
agents
85
multimodal

Rankings

Domain#RankScoreSource
Agentic Capability68
44.0
LS
Code Ranking76
87.0
AA
General Ranking48
74.0
AA
Multimodal Ranking7
71.0
LS
Science76
77.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

Toolathlon46.3%SR

Communication

Tau2 Telecom98.7%SR
Tau2 Retail82.0%SR

Language

MMMLU89.6%SR

Math

AIME 2025100.0%SR
HMMT 202599.4%SR
LiveBench74.8%
FrontierMath40.3%SR

Multimodal

VideoMMMU85.9%SR

Reasoning

Graphwalks BFS <128k94.0%SR
GPQANYU + Cohere + Anthropic (2023)92.4%SR
BrowseComp Long Context 128k92.0%SR
BrowseComp Long Context 256k89.8%SR
Graphwalks parents <128k89.0%SR
ARC-AGI86.2%SR
CharXiv-R82.1%SR
SWE-Bench Verified80.0%SR
SWE-Lancer (IC-Diamond subset)74.6%SR
BrowseCompOpenAI (2025)65.8%SR
MCP Atlas60.6%SR
ARC-AGI v252.9%SR
Humanity's Last Exam34.5%SR

Vision

ScreenSpot Pro86.3%SR
MMMU-Pro79.5%SR

AA Evaluation Indices

(Artificial Analysis)
Math Index(Artificial Analysis)
99.0
Aime 25(MAA (Mathematical Association of America))
99.0
Gpqa(NYU + Cohere + Anthropic (2023))
90.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))
88.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
87.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
84.8
Lcr(Artificial Analysis)
82.7
Ifbench(Google Research (2023))
75.4
Terminalbench Hard(Stanford × Laude Institute (2026))
47.0
Hle(Center for AI Safety + Scale AI (2025))
37.7
Intelligence Index(Artificial Analysis)
30.4

LLM Stats Category Scores

(LLM Stats (zeroeval))
Language
90
Physics
90
Grounding
90
Healthcare
90
Biology
90
Chemistry
90
Communication
90
Multimodal
80
Reasoning
80
Search
80
Spatial Reasoning
80
Frontend Development
80
General
80
Math
70
Code
70
Tool Calling
70
Vision
70
Agents
60

Pricing

Input Price$1.75 / 1M tokens
Output Price$14 / 1M tokens
Blended Price (3:1)$4.813 / 1M tokens
Cache Read Price$0.175 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

2 providers

Cheapest: OpenAIMost Expensive: Neon
ProviderInputOutput
1OpenAICheapest
$0
$0.00001
2Neon
$1.75
$14

Compare pricing across different API providers for this model.

External Sources