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 | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 68 | 44.0 | LS |
| Code Ranking | 76 | 87.0 | AA |
| General Ranking | 48 | 74.0 | AA |
| Multimodal Ranking | 7 | 71.0 | LS |
| Science | 76 | 77.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
Toolathlon
46.3%SR
Communication
Tau2 Telecom
98.7%SR
Tau2 Retail
82.0%SR
Language
MMMLU
89.6%SR
Math
AIME 2025
100.0%SR
HMMT 2025
99.4%SR
LiveBench
74.8%
FrontierMath
40.3%SR
Multimodal
VideoMMMU
85.9%SR
Reasoning
Graphwalks BFS <128k
94.0%SR
GPQANYU + Cohere + Anthropic (2023)
92.4%SR
BrowseComp Long Context 128k
92.0%SR
BrowseComp Long Context 256k
89.8%SR
Graphwalks parents <128k
89.0%SR
ARC-AGI
86.2%SR
CharXiv-R
82.1%SR
SWE-Bench Verified
80.0%SR
SWE-Lancer (IC-Diamond subset)
74.6%SR
BrowseCompOpenAI (2025)
65.8%SR
MCP Atlas
60.6%SR
ARC-AGI v2
52.9%SR
Humanity's Last Exam
34.5%SR
Vision
ScreenSpot Pro
86.3%SR
MMMU-Pro
79.5%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))Language90
Physics90
Grounding90
Healthcare90
Biology90
Chemistry90
Communication90
Multimodal80
Reasoning80
Search80
Spatial Reasoning80
Frontend Development80
General80
Math70
Code70
Tool Calling70
Vision70
Agents60
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.