The AI arena is free today

Open Superagent

Atria Dawn Preview vs Parse

Comparing Atria Dawn Preview and Parse across benchmarks, pricing, and capabilities.

Shanghai AI Laboratory · Cohere · Updated for 2026

Which is better?

Atria Dawn Preview 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 Atria Dawn Preview

  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose Parse

  • you are already invested in the Cohere ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
8,192

Individual benchmarks

12 reported for Atria Dawn Preview · 1 for Parse

No common benchmarks found

Atria Dawn Preview 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

741.7B diff

Atria Dawn Preview has 741.7B more parameters than Parse, making it 32247.8% larger.

Shanghai AI Laboratory
Atria Dawn Preview
744.0Bparameters
Cohere
Parse
2.3Bparameters
744.0B
Atria Dawn Preview
2.3B
Parse

Context Window

Maximum input and output token capacity

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

Shanghai AI Laboratory
Atria Dawn Preview
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Atria Dawn Preview does not.

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

Atria Dawn Preview

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Atria Dawn Preview is licensed under MIT, while Parse uses a proprietary license.

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

Atria Dawn Preview

MIT

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Atria Dawn Preview was released on 2026-09-11, while Parse was released on 2026-08-27.

Atria Dawn Preview is 1 month newer than Parse.

Atria Dawn Preview

Sep 11, 2026

1 weeks ago

2w newer
Parse

Aug 27, 2026

3 weeks ago

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Atria Dawn Preview and Parse side-by-side, then vote on the output you prefer.

Atria Dawn Preview
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Atria Dawn Preview vs Parse.

Which is better, Atria Dawn Preview or Parse?

Atria Dawn Preview (Shanghai AI Laboratory) 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 Atria Dawn Preview compare to Parse in benchmarks?

Atria Dawn Preview scores DeepSearchQA: 96.0%, BrowseComp: 92.5%, CyberGym: 86.5%, MLE-Bench Lite: 86.2%, WideSearch: 81.9%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Atria Dawn Preview and Parse?

Atria Dawn Preview 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 Atria Dawn Preview and Parse?

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

Who makes Atria Dawn Preview and Parse?

Atria Dawn Preview is developed by Shanghai AI Laboratory and Parse is developed by Cohere.