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Nemotron 3.5 Lightning (30B A3B) vs Parse

Comparing Nemotron 3.5 Lightning (30B A3B) and Parse across benchmarks, pricing, and capabilities.

NVIDIA · Cohere · Updated for 2026

Which is better?

Nemotron 3.5 Lightning (30B A3B) and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Nemotron 3.5 Lightning (30B A3B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Nemotron 3.5 Lightning (30B A3B)

  • you process long inputs — it offers a 262,144 token context window
  • 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.

Nemotron 3.5 Lightning (30B A3B)
NVIDIA
Parse
Cohere
Benchmark wins
—
—
Input price
$0.05 / M
— / M
Output price
$0.20 / M
— / M
Context window
262,144
8,192

Individual benchmarks

13 reported for Nemotron 3.5 Lightning (30B A3B) · 1 for Parse

No common benchmarks found

Nemotron 3.5 Lightning (30B A3B) 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

27.7B diff

Nemotron 3.5 Lightning (30B A3B) has 27.7B more parameters than Parse, making it 1204.3% larger.

NVIDIA
Nemotron 3.5 Lightning (30B A3B)
30.0Bparameters
Cohere
Parse
2.3Bparameters
30.0B
Nemotron 3.5 Lightning (30B A3B)
2.3B
Parse

Context Window

Maximum input and output token capacity

Nemotron 3.5 Lightning (30B A3B) accepts 262,144 input tokens compared to Parse's 8,192 tokens. Only Nemotron 3.5 Lightning (30B A3B) specifies output context (262,144 tokens).

NVIDIA
Nemotron 3.5 Lightning (30B A3B)
Input262,144 tokens
Output262,144 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Nemotron 3.5 Lightning (30B A3B) does not.

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

Nemotron 3.5 Lightning (30B A3B)

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron 3.5 Lightning (30B A3B) is licensed under OpenMDW License v1.1, while Parse uses a proprietary license.

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

Nemotron 3.5 Lightning (30B A3B)

OpenMDW License v1.1

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Nemotron 3.5 Lightning (30B A3B) was released on 2026-08-11, while Parse was released on 2026-08-27.

Parse is 1 month newer than Nemotron 3.5 Lightning (30B A3B).

Nemotron 3.5 Lightning (30B A3B)

Aug 11, 2026

3 weeks ago

Parse

Aug 27, 2026

1 weeks ago

2w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Nemotron 3.5 Lightning (30B A3B) is available from DeepInfra. Parse is available from Azure, Cohere.

Nemotron 3.5 Lightning (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M

Parse

azure logo
Azure
cohere logo
Cohere
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Nemotron 3.5 Lightning (30B A3B) and Parse side-by-side, then vote on the output you prefer.

Nemotron 3.5 Lightning (30B A3B)
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Nemotron 3.5 Lightning (30B A3B) vs Parse.

Which is better, Nemotron 3.5 Lightning (30B A3B) or Parse?

Nemotron 3.5 Lightning (30B A3B) (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 Nemotron 3.5 Lightning (30B A3B) compare to Parse in benchmarks?

Nemotron 3.5 Lightning (30B A3B) scores PinchBench: 85.4%, MMLU-Pro: 81.9%, GPQA: 75.4%, IFBench: 71.9%, AA-LCR: 52.0%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Nemotron 3.5 Lightning (30B A3B) and Parse?

Nemotron 3.5 Lightning (30B A3B) supports 262K 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 Nemotron 3.5 Lightning (30B A3B) and Parse?

Key differences include context window (262K vs 8K), multimodal support (no vs yes), licensing (OpenMDW License v1.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron 3.5 Lightning (30B A3B) and Parse?

Nemotron 3.5 Lightning (30B A3B) is developed by NVIDIA and Parse is developed by Cohere.

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