How does GPT-5.2-Codex compare with other LLMs?

AskClash compares GPT-5.2-Codex against nearby AI models using public benchmark scores, pricing, context window, and access details.

What benchmarks are tracked for GPT-5.2-Codex?

The page shows cached public benchmark cells such as HLE, GPQA, SWE-bench, SWE-Pro, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and related model scores when available.

LLM Leaderboard · Proprietary

GPT-5.2-Codex benchmarks, pricing, and LLM comparison.

Compare GPT-5.2-Codex vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

Open live LLM leaderboard Open in app

Rank #27AskClash overall score: 49.3

$1.75 / $14.0Input and output token price, when published. Context: 400K.

API/OAuthBilling and access path cached for this model row.

GPT-5.2-Codex benchmark snapshot

AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.

Overall49.3

Benchmark cells8

Context400K

CreatorOpenAI

GPT-5.2-Codex public benchmark scores

Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.

HLE

33.5 score

GPQA

89.9 score

MATH-500

94.0 score

IFEval

77.6 score

SWE-Pro

56.4 score

Terminal-Bench

64.0 score

MMMU-Pro

76.3 score

Tau2

92.1 score

GPT-5.2-Codex vs other AI models

Use these comparison links to evaluate GPT-5.2-Codex against nearby LLMs by benchmark score, price, context window, and provider.

GPT-5.2-Codex vs GPT-5.5 xHigh GPT-5.2-Codex vs Claude Opus 4.7 (Adaptive)GPT-5.2-Codex vs GPT-5.5 GPT-5.2-Codex vs GPT-5.4 GPT-5.2-Codex vs Gemini 3.5 Flash High GPT-5.2-Codex vs Composer 2.5 GPT-5.2-Codex vs Claude Mythos Preview GPT-5.2-Codex vs Kimi K2.6 Thinking

Related AI and tech coverage

Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.

[AINews] GPT 5.5 and OpenAI Codex Superapp

Latent Space

TAI #202: GPT-5.5 Moves Codex Into Real Work

Towards AI

GPT 5.4 is a big step for Codex

On evaluating and understanding the frontier of agents, and why I still turn to Claude.

Letta (MemGPT) — Persistent Agent OS — Repository Overview

Letta Code supports [skills](https://docs.letta.com/letta-code/skills) and [subagents](https://docs.letta.com/letta-code/subagents), and bundles pre-built skills/subagents for advanced memory and continual learning. Letta is fully model-agnostic, though we recommend Opus 4.5 and GPT-5.2 for best performance (see our [model leaderboard](https://leaderboard.letta.com/) for our rankings). * **Follow our socials**: [Twitter/X](https://twitter.com/Letta_AI), [LinkedIn](https://www.linkedin.com/in/let

Last cached leaderboard date: May 25, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.