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. | 1M | 400k |
| Benchmarks | ||
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. | 15% | 32% |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 21.4% | — |
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. | 35.1% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 62.1% | — |
MMLU-ProKnowledge — accuracy on the ten-option MMLU-Pro benchmark | 76.4% | — |
MMMUMultimodal — Tests the AI on understanding images and text together across many college subjects. Higher is better. | 70.7% | — |
| Overview | ||
| Company | OpenAI | |
| Release date | Dec 11 2024 | Nov 13 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Gemini 2.0 FlashvsClaude Fable 5.2GPT-5.1-CodexvsClaude Fable 5.2Gemini 2.0 FlashvsMuse EmberGPT-5.1-CodexvsMuse EmberGemini 2.0 FlashvsGrok 4.7GPT-5.1-CodexvsGrok 4.7Gemini 2.0 FlashvsDeepSeek-V4.1-Flash-1017GPT-5.1-CodexvsDeepSeek-V4.1-Flash-1017Gemini 2.0 FlashvsMistral Large 4GPT-5.1-CodexvsMistral Large 4Gemini 2.0 FlashvsKimi K3.1 ProGPT-5.1-CodexvsKimi K3.1 ProFrequently asked questions
GPT-5.1-Codex leads Gemini 2.0 Flash on 1 of the 1 benchmark they both report (BullshitBench v2). Gemini 2.0 Flash shipped 337 days before GPT-5.1-Codex, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.0 Flash) vs 400k (GPT-5.1-Codex).
On BullshitBench v2, GPT-5.1-Codex leads at 32% vs Gemini 2.0 Flash at 15%.