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. | 100k | 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. | — | 39% |
HumanEvalFunction synthesis — 164 small Python problems: the AI is given a function's description and has to write the working function. This was the coding benchmark of the GPT-3.5 and GPT-4 era, before the field moved to fixing real bugs in real repositories. Higher is better. | 58.7% | — |
GSM8KGrade-school math — Grade-school maths word problems that take a few steps of arithmetic to work through. It separated the models of 2022 and 2023 sharply, then saturated. One caveat on the historical numbers: OpenAI included part of the GSM8K training set in GPT-4's pre-training mix, so GPT-4's score is not a clean few-shot result. Higher is better. | 86.7% | — |
| Overview | ||
| Company | Anthropic | OpenAI |
| Release date | Aug 9 2023 | Sep 15 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Claude Instant 1.2vsGemini 4 ArgonGPT-5-CodexvsGemini 4 ArgonClaude Instant 1.2vsMuse Spark OpenGPT-5-CodexvsMuse Spark OpenClaude Instant 1.2vsGrok 4.7GPT-5-CodexvsGrok 4.7Claude Instant 1.2vsDeepSeek-V4.1-Flash-1017GPT-5-CodexvsDeepSeek-V4.1-Flash-1017Claude Instant 1.2vsMistral Large 4GPT-5-CodexvsMistral Large 4Claude Instant 1.2vsKimi K3GPT-5-CodexvsKimi K3Frequently asked questions
Claude Instant 1.2 and GPT-5-Codex don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude Instant 1.2 shipped 768 days before GPT-5-Codex, so benchmark comparisons should account for the intervening progress.
Context windows are 100k (Claude Instant 1.2) vs 400k (GPT-5-Codex).
Direct benchmark comparisons are unavailable — Claude Instant 1.2 and GPT-5-Codex don't publish scores on any of the same benchmarks.