Compare AI models
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | 253B | — |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | — | 200k |
| 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. | — | $15.00 |
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. | — | $60.00 |
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. | — | $7.50 |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $15.00OpenAI |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $60.00OpenAI |
| Benchmarks | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 76% | 75.7% |
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. | 66.3% | — |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Apr 8 2025 | Dec 5 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Llama Nemotron Ultra 253BvsClaude Haiku 5.5o1vsClaude Haiku 5.5Llama Nemotron Ultra 253BvsGemini 4 Argono1vsGemini 4 ArgonLlama Nemotron Ultra 253BvsMuse Spark 1.3o1vsMuse Spark 1.3Llama Nemotron Ultra 253BvsGrok 4.7o1vsGrok 4.7Llama Nemotron Ultra 253BvsDeepSeek-V4.1-Flasho1vsDeepSeek-V4.1-FlashLlama Nemotron Ultra 253BvsMistral Large 4o1vsMistral Large 4Frequently asked questions
Llama Nemotron Ultra 253B leads o1 on 1 of the 1 benchmark they both report (GPQA Diamond). Only o1 has a verified first-party API price: $15.00 per million input tokens and $60.00 per million output tokens. No pay-as-you-go API rate is tracked for Llama Nemotron Ultra 253B. o1 shipped 124 days before Llama Nemotron Ultra 253B, so benchmark comparisons should account for the intervening progress.
Llama Nemotron Ultra 253B is open weight, while o1 is closed.
On GPQA Diamond, Llama Nemotron Ultra 253B leads at 76% vs o1 at 75.7%.