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. | 400k | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $1.25Azure | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $10.00Azure | — |
| $750Azure | — | |
| These models have no shared benchmark scores. | ||
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. | — | 74.8% |
| Overview | ||
| Company | OpenAI | SpaceXSI |
| Release date | Nov 19 2025 | Feb 17 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
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GPT-5.1-Codex-Max and Grok 3 mini don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok 3 mini shipped 275 days before GPT-5.1-Codex-Max, so benchmark comparisons should account for the intervening progress.
Context windows are 400k (GPT-5.1-Codex-Max) vs 128k (Grok 3 mini).
Direct benchmark comparisons are unavailable — GPT-5.1-Codex-Max and Grok 3 mini don't publish scores on any of the same benchmarks.