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 |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $4.00 | — |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $20.00 | — |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.20 | — |
| $1,800Moonshot AI list price | — | |
| 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% |
| Overview | ||
| Company | Moonshot AI | OpenAI |
| Release date | Oct 23 2026 | Dec 18 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Kimi K3.1 Pro HighspeedvsClaude Fable 5.2GPT-5.2-CodexvsClaude Fable 5.2Kimi K3.1 Pro HighspeedvsGemini 4 CarbonGPT-5.2-CodexvsGemini 4 CarbonKimi K3.1 Pro HighspeedvsMuse EmberGPT-5.2-CodexvsMuse EmberKimi K3.1 Pro HighspeedvsGrok 4.7GPT-5.2-CodexvsGrok 4.7Kimi K3.1 Pro HighspeedvsDeepSeek-V4.1-Flash-1017GPT-5.2-CodexvsDeepSeek-V4.1-Flash-1017Kimi K3.1 Pro HighspeedvsMistral Large 4GPT-5.2-CodexvsMistral Large 4Frequently asked questions
Kimi K3.1 Pro Highspeed and GPT-5.2-Codex don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Kimi K3.1 Pro Highspeed has a verified first-party price for an available API: $4.00 per million input tokens and $20.00 per million output tokens. No currently available pay-as-you-go API rate is tracked for GPT-5.2-Codex. GPT-5.2-Codex shipped 309 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-5.2-Codex).
Direct benchmark comparisons are unavailable — Kimi K3.1 Pro Highspeed and GPT-5.2-Codex don't publish scores on any of the same benchmarks.