Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 2.8T | — |
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 |
| 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% |
| Overview | ||
| Company | Moonshot AI | OpenAI |
| Release date | Oct 23 2026 | Sep 15 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Kimi K3.1 Pro HighspeedvsClaude Haiku 5.5GPT-5-CodexvsClaude Haiku 5.5Kimi K3.1 Pro HighspeedvsGemini 4 ArgonGPT-5-CodexvsGemini 4 ArgonKimi K3.1 Pro HighspeedvsMuse Spark OpenGPT-5-CodexvsMuse Spark OpenKimi K3.1 Pro HighspeedvsGrok 4.7GPT-5-CodexvsGrok 4.7Kimi K3.1 Pro HighspeedvsDeepSeek-V4.1-Flash-1017GPT-5-CodexvsDeepSeek-V4.1-Flash-1017Kimi K3.1 Pro HighspeedvsMistral Large 4GPT-5-CodexvsMistral Large 4Frequently asked questions
Kimi K3.1 Pro Highspeed and GPT-5-Codex don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-5-Codex shipped 403 days before Kimi K3.1 Pro Highspeed, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Kimi K3.1 Pro Highspeed) vs 400k (GPT-5-Codex).
Direct benchmark comparisons are unavailable — Kimi K3.1 Pro Highspeed and GPT-5-Codex don't publish scores on any of the same benchmarks.