GPT-5.2 vs o3

It is close. Our weighted score puts them within 2 points (GPT-5.2 61/100, o3 58/100), so choose by what matters most for your work: GPT-5.2 for raw capability and o3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

o3 is cheaper at $2.00 input / $8.00 output per million tokens (official OpenAI API price). GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.50 per million tokens for o3 versus $4.81 for GPT-5.2 (1.4× as much).

GPT-5.2 scores higher on the Capabilities Index (ECI): GPT-5.2 153.5 (#38 of 148) and o3 146.9 (#63 of 148). Their confidence ranges do not overlap (151.7–155.4 vs 144.9–148.6), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-5.2 91.4%, o3 81.8%; FrontierMath Tiers 1–3 — GPT-5.2 67.4%, o3 33.3%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, o3 84.4%; SWE-bench Verified — GPT-5.2 73.8%, o3 62.3%; SimpleQA Verified — o3 49.4%, GPT-5.2 37.1%.

GPT-5.2 resolves more real GitHub issues on SWE-bench Verified: GPT-5.2 73.8% and o3 62.3%. Both support tool calling for agent workflows.

GPT-5.2 has the largest context window at 400,000 tokens, against 200,000 for o3. Maximum output per response: GPT-5.2 up to 128,000, o3 up to 100,000 tokens.

GPT-5.2 accepts text and images; o3 accepts text, images and PDFs. o3 handles the widest range of inputs.

No. GPT-5.2 and o3 are proprietary and only available through APIs and apps.

GPT-5.2 is the newest, released Dec 11, 2025. o3 came out Apr 16, 2025. Knowledge cutoff: GPT-5.2 Aug 31, 2025, o3 May 2024.

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.