Where can I access Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)?

Artificial Analysis

NVIDIA

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Open weights model

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Released April 2025

Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) API Provider Benchmarking & Analysis

Model Comparison

This analysis is intended to support you in choosing the best API provider of Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) for your use-case.

Fastest

Output speed

Total 0 providers

Lowest Latency

Time to first answer token

Total 0 providers

Lowest Price

Blended price (per 1M tokens)

Total 0 providers

No API providers are currently available for Llama Nemotron Ultra.

Benchmarks of providers are not available for this model.

Please see the models page for Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) for details of the model and its intelligence compared to other models.

Highlights

Speed

Output tokens per second · Higher is better

No data available

End-to-End Response Time

Seconds · Lower is better

No data available

Price

USD per 1M tokens (blended) · Lower is better

No data available

Update: Default performance benchmarking workload has updated to 10k input tokens to better reflect production use cases. You can still select different workloads above.

Pricing

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

No data available

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Pricing: Blended Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended) · Lower is better

No data available

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Output Speed vs. Price

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)

Most attractive quadrant

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Speed

Measured by Output Speed (tokens per second)

Output Speed: Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)

Output speed: output tokens per second · 10,000 input tokens

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Latency vs. Output Speed

Latency: seconds to first token received · Output speed: output tokens per second · 10,000 input tokens

Most attractive quadrant

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Latency

Measured by Time (seconds) to First Token

Time to First Answer Token: Llama Nemotron Ultra Providers

Seconds to first token received · Lower is better · 10,000 input tokens

No data available

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

End-to-End Response Time

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time: Llama Nemotron Ultra Providers

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens

No data available

Seconds to receive a 500 token response. Key components:

Input time: Time to receive the first response token
Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
Answer time: Time to generate 500 output tokens, based on output speed

Key Comparison Metrics & API Features



No results.

Frequently Asked Questions

Common questions about Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) providers

Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) is not currently available through any API providers we benchmark. As an open weights model, it can be self-hosted.

Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) API Provider Benchmarking & Analysis

Fastest

Lowest Latency

Lowest Price

Speed

End-to-End Response Time

Price

Pricing

Pricing: Cache Hit, Input, and Output

Cache Hit

Pricing: Blended Price

Price

Output Speed vs. Price

Output Speed

Speed

Output Speed: Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)

Output Speed

Model Performance Representation

Latency vs. Output Speed

Output Speed

Latency

Time to First Answer Token: Llama Nemotron Ultra Providers

Time to First Answer Token

Median

End-to-End Response Time

End-to-End Response Time: Llama Nemotron Ultra Providers

End-to-End Response Time

Key Comparison Metrics & API Features

Frequently Asked Questions

Where can I access Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)?