Where can I access Llama 3.1 Nemotron Instruct 70B?

Artificial Analysis

This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.

NVIDIA has launched a newer release, Nemotron 3 Super 120B A12B. We suggest considering it instead.

NVIDIA

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Open weights model

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Released October 2024

Llama 3.1 Nemotron Instruct 70B API Provider Benchmarking & Analysis

Model Comparison

This analysis is intended to support you in choosing the best API provider of Llama 3.1 Nemotron Instruct 70B for your use-case.

Fastest

Output speed

Total 0 providers

Lowest Latency

Time to first token

Total 0 providers

Lowest Price

Blended price (per 1M tokens)

Total 0 providers

No API providers are currently available for Llama 3.1 Nemotron 70B.

Benchmarks of providers are not available for this model.

Please see the models page for Llama 3.1 Nemotron Instruct 70B for details of the model and its intelligence compared to other models.

Speed

Output tokens per second · Higher is better

No data available

Latency

Seconds to first answer token received · Lower is better

No data available

Price

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

No data available

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 Instruct 70B

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 or the median across providers where a first-party API is not available.

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 Token: Llama 3.1 Nemotron 70B Providers

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

No data available

Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. 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 3.1 Nemotron 70B 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 Instruct 70B providers

Llama 3.1 Nemotron Instruct 70B is not currently available through any API providers we benchmark. As an open weights model, it can be self-hosted.

Llama 3.1 Nemotron Instruct 70B API Provider Benchmarking & Analysis

Fastest

Lowest Latency

Lowest Price

Speed

Latency

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 Instruct 70B

Output Speed

Model Performance Representation

Latency vs. Output Speed

Output Speed

Latency

Time to First Token: Llama 3.1 Nemotron 70B Providers

Latency (Time to First Token)

Median

End-to-End Response Time

End-to-End Response Time: Llama 3.1 Nemotron 70B Providers

End-to-End Response Time

Key Comparison Metrics & API Features

Frequently Asked Questions

Where can I access Llama 3.1 Nemotron Instruct 70B?