Compare AI models
| Specifications | ||
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 2M | 400k |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 45% |
Next.js EvalsNext.js coding — Vercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. | — | 46% |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | 34.3% | — |
MATHReasoning — accuracy on the original competition mathematics test set | 86.5% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 59.1% | — |
MMLU-ProKnowledge — accuracy on the ten-option MMLU-Pro benchmark | 75.8% | — |
MMMUMultimodal — Tests the AI on understanding images and text together across many college subjects. Higher is better. | 65.9% | — |
| Overview | ||
| Company | OpenAI | |
| Release date | Sep 24 2024 | Dec 18 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
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Gemini 1.5 Pro-002 and GPT-5.2-Codex don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Pro-002 shipped 450 days before GPT-5.2-Codex, so benchmark comparisons should account for the intervening progress.
Context windows are 2M (Gemini 1.5 Pro-002) vs 400k (GPT-5.2-Codex).
Direct benchmark comparisons are unavailable — Gemini 1.5 Pro-002 and GPT-5.2-Codex don't publish scores on any of the same benchmarks.