Review

    GPT-5.2 Review: OpenAI's Most Powerful Model Yet

    In-depth review of GPT-5.2 covering reasoning, coding, creative writing, multimodal capabilities, and pricing in March 2026.

    Mar 7, 2026 14 min read

    GPT-5.2 Overview

    OpenAI released GPT-5.2 in late February 2026, and it represents their most significant model upgrade in over a year. With a 256K context window, dramatically improved reasoning, and native tool use capabilities, GPT-5.2 sets a new standard for what large language models can accomplish.

    This review is based on three weeks of intensive testing across diverse use cases — from academic research to creative writing to complex software engineering.

    Reasoning & Analysis

    GPT-5.2's reasoning capabilities are genuinely impressive. On our benchmark suite, it scores 94.2% on ARC-AGI Extended, 97.1% on MMLU-Pro, and 89.3% on our custom multi-step logic test. These represent 3-5 point improvements over GPT-5.0.

    The model handles chain-of-thought reasoning with remarkable consistency, rarely losing track of complex argument threads. It's particularly strong on mathematical proofs and scientific reasoning, though it still occasionally makes arithmetic errors on very long calculations.

    Coding Performance

    For software development, GPT-5.2 is exceptional. First-pass success rate on our full-stack application tests is 89%, up from 82% for GPT-5.0. The model generates cleaner code, handles edge cases better, and provides more thorough error handling.

    Native tool use means GPT-5.2 can execute code, search documentation, and run tests as part of its reasoning process. This dramatically improves accuracy for complex programming tasks.

    Creative Writing & Multimodal

    Creative writing quality has improved notably — prose is more varied, voice consistency across long documents is better, and the model produces fewer clichéd phrases. However, it still occasionally falls into predictable narrative patterns without specific prompting.

    Multimodal capabilities now include video understanding up to 5 minutes, improved image analysis, and audio transcription with speaker diarization. Image generation quality rivals dedicated models.

    Pricing & Verdict

    GPT-5.2 pricing: $12/million input tokens, $36/million output tokens for the full model. The mini variant offers 80% of the capability at $1.2/$3.6 per million tokens — excellent value.

    Verdict: GPT-5.2 is the best general-purpose LLM available today. It leads in coding and reasoning, and matches Claude 4.5 in most other categories. For teams that need one model for everything, this is it.

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