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Llama 3.1 Nemotron 70B Instruct vs Parse

Comparing Llama 3.1 Nemotron 70B Instruct and Parse across benchmarks, pricing, and capabilities.

NVIDIA · Cohere · Updated for 2026

Which is better?

Llama 3.1 Nemotron 70B Instruct and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Llama 3.1 Nemotron 70B Instruct

  • you need open weights you can self-host or fine-tune

Choose Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Llama 3.1 Nemotron 70B Instruct
NVIDIA
Parse
Cohere
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
8,192

Individual benchmarks

11 reported for Llama 3.1 Nemotron 70B Instruct · 1 for Parse

No common benchmarks found

Llama 3.1 Nemotron 70B Instruct and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

67.7B diff

Llama 3.1 Nemotron 70B Instruct has 67.7B more parameters than Parse, making it 2943.5% larger.

NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
Cohere
Parse
2.3Bparameters
70.0B
Llama 3.1 Nemotron 70B Instruct
2.3B
Parse

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.

Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 Nemotron 70B Instruct is licensed under Llama 3.1 Community License, while Parse uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01, while Parse was released on 2026-08-27.

Parse is 23 months newer than Llama 3.1 Nemotron 70B Instruct.

Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.9 years ago

Parse

Aug 27, 2026

5 days ago

1.9yr newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while Parse's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without Parse's cutoff date.

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Parse

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Llama 3.1 Nemotron 70B Instruct and Parse side-by-side, then vote on the output you prefer.

Llama 3.1 Nemotron 70B Instruct
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Llama 3.1 Nemotron 70B Instruct vs Parse.

Which is better, Llama 3.1 Nemotron 70B Instruct or Parse?

Llama 3.1 Nemotron 70B Instruct (NVIDIA) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Llama 3.1 Nemotron 70B Instruct compare to Parse in benchmarks?

Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Llama 3.1 Nemotron 70B Instruct and Parse?

Llama 3.1 Nemotron 70B Instruct supports an unknown number of tokens and Parse supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.1 Nemotron 70B Instruct and Parse?

Key differences include multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 Nemotron 70B Instruct and Parse?

Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA and Parse is developed by Cohere.

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