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NVIDIA: Llama 3.1 Nemotron 70B Instruct

Nemotron model for efficient reasoning, coding, and specialized AI agents

Source-linked nemotron Open weights Released 2025-04-15
API record Report
InputT
OutputT
Input priceNot listed
Output priceNot listed
Context128K
Max output8.192K
Providers2
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

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Providers offering Llama 3.1 Nemotron 70B Instruct
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Nvidia nvidia/llama-3.1-nemotron-70b-instruct 128K 8.192K Tools Docs ↗
Eden AI deepinfra/nvidia/Llama-3.1-Nemotron-70B-Instruct 131.072K 8.192K $0.6 $0.6 Tools Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.6/M

Across 1 priced provider

Median input $0.6/M

Midpoint of listed rates

Highest input $0.6/M

Same as the lowest listed rate

Output range $0.6 – $0.6

Per million output tokens

Eden AI $0.6/MLowest
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

Context limits also differ by provider, from 128K to 131.072K tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

× Reasoning No
Tool calling Yes
? Structured output Unknown
× Attachments No
× Vision input No
Open weights Yes
Creator
NVIDIA
Model family
nemotron
Knowledge cutoff
Not documented
License
Not documented
Release date
2025-04-15
Model ID
nvidia/llama-3.1-nemotron-70b-instruct
Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
No published benchmark results

ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.

Read the methodology
Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
No changes recorded

This record has not changed within the retained import history.

Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/nvidia/llama-3.1-nemotron-70b-instruct
curl
curl "https://model.kyssta.lol/api/v1/models/nvidia/llama-3.1-nemotron-70b-instruct"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Llama 3.1 Nemotron 70B Instruct?

Nemotron model for efficient reasoning, coding, and specialized AI agents. It is published by NVIDIA and catalogued here from Models.dev.

How much does Llama 3.1 Nemotron 70B Instruct cost?

Listed input pricing starts at $0.6 per million tokens from Eden AI.

What is the context length of Llama 3.1 Nemotron 70B Instruct?

Llama 3.1 Nemotron 70B Instruct accepts up to 128K tokens of context and returns up to 8.192K output tokens.

Does Llama 3.1 Nemotron 70B Instruct support tool calling and structured output?

Provider catalogs list support for tool calling.

Which providers serve Llama 3.1 Nemotron 70B Instruct?

2 providers list this model: Nvidia, Eden AI.

Are the weights for Llama 3.1 Nemotron 70B Instruct open?

Yes. The weights are published.

When was Llama 3.1 Nemotron 70B Instruct released?

The catalog records a release date of 2025-04-15, last verified Sep 11, 2026.

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