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Atria Dawn Preview vs Llama 3.2 90B Instruct

Atria Dawn Preview leads the LLM Stats Score 52.3 to 5.2.

Shanghai AI Laboratory · Meta · Updated for 2026

Which is better?

Atria Dawn Preview leads the overall LLM Stats Score 52.3 to 5.2, ranking #10 overall.

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

Choose Atria Dawn Preview

  • overall performance matters — it scores 52.3 and ranks #10 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Llama 3.2 90B Instruct

  • you want predictable pricing at $0.35/M input and $0.40/M output

At a glance

The differences that matter most.

Core performance indexes
52.3
#10
5.2
#297
50.5
#12
6.7
#285
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
128,000

Individual benchmarks

12 reported for Atria Dawn Preview · 13 for Llama 3.2 90B Instruct

No common benchmarks found

Atria Dawn Preview and Llama 3.2 90B Instructdon'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

654.0B diff

Atria Dawn Preview has 654.0B more parameters than Llama 3.2 90B Instruct, making it 726.7% larger.

Shanghai AI Laboratory
Atria Dawn Preview
744.0Bparameters
Meta
Llama 3.2 90B Instruct
90.0Bparameters
744.0B
Atria Dawn Preview
90.0B
Llama 3.2 90B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Shanghai AI Laboratory
Atria Dawn Preview
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Sep 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 3.2 90B Instruct supports multimodal inputs, whereas Atria Dawn Preview does not.

Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Atria Dawn Preview

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Atria Dawn Preview is licensed under MIT, while Llama 3.2 90B Instruct uses Llama 3.2.

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

Atria Dawn Preview

MIT

Open weights

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Atria Dawn Preview was released on 2026-09-11, while Llama 3.2 90B Instruct was released on 2024-09-25.

Atria Dawn Preview is 24 months newer than Llama 3.2 90B Instruct.

Atria Dawn Preview

Sep 11, 2026

1 weeks ago

2.0yr newer
Llama 3.2 90B Instruct

Sep 25, 2024

2.0 years 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 Llama 3.2 90B Instruct side-by-side, then vote on the output you prefer.

Atria Dawn Preview
✓ Preferred
Llama 3.2 90B Instruct
Open in Playground

FAQ

Common questions about Atria Dawn Preview vs Llama 3.2 90B Instruct.

Which is better, Atria Dawn Preview or Llama 3.2 90B Instruct?

Atria Dawn Preview leads the LLM Stats Score 52.3 to 5.2. Atria Dawn Preview is made by Shanghai AI Laboratory and Llama 3.2 90B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Atria Dawn Preview compare to Llama 3.2 90B Instruct in benchmarks?

Atria Dawn Preview scores DeepSearchQA: 96.0%, BrowseComp: 92.5%, CyberGym: 86.5%, MLE-Bench Lite: 86.2%, WideSearch: 81.9%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

What are the context window sizes for Atria Dawn Preview and Llama 3.2 90B Instruct?

Atria Dawn Preview supports an unknown number of tokens and Llama 3.2 90B Instruct supports 128K 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 Llama 3.2 90B Instruct?

Key differences include LLM Stats Score (52.3 vs 5.2), multimodal support (no vs yes), licensing (MIT vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Atria Dawn Preview and Llama 3.2 90B Instruct?

Atria Dawn Preview is developed by Shanghai AI Laboratory and Llama 3.2 90B Instruct is developed by Meta.