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Atria Dawn Preview vs Phi 4

Atria Dawn Preview leads the LLM Stats Score 52.3 to 5.4.

Shanghai AI Laboratory · Microsoft · Updated for 2026

Which is better?

Atria Dawn Preview leads the overall LLM Stats Score 52.3 to 5.4, 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 and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Phi 4

  • you want predictable pricing at $0.07/M input and $0.14/M output

At a glance

The differences that matter most.

Core performance indexes
52.3
#10
5.4
#296
50.5
#12
6.5
#287
36.2
#22
3.4
#217
Cost, coverage & limits
Benchmark wins
Input price
— / M
$0.07 / M
Output price
— / M
$0.14 / M
Context window
16,384

Individual benchmarks

12 reported for Atria Dawn Preview · 13 for Phi 4

No common benchmarks found

Atria Dawn Preview and Phi 4don'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

729.3B diff

Atria Dawn Preview has 729.3B more parameters than Phi 4, making it 4961.2% larger.

Shanghai AI Laboratory
Atria Dawn Preview
744.0Bparameters
Microsoft
Phi 4
14.7Bparameters
744.0B
Atria Dawn Preview
14.7B
Phi 4

Context Window

Maximum input and output token capacity

Only Phi 4 specifies input context (16,384 tokens). Only Phi 4 specifies output context (16,384 tokens).

Shanghai AI Laboratory
Atria Dawn Preview
Input- tokens
Output- tokens
Microsoft
Phi 4
Input16,384 tokens
Output16,384 tokens
Wed Sep 16 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

Atria Dawn Preview

MIT

Open weights

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

Atria Dawn Preview was released on 2026-09-11, while Phi 4 was released on 2024-12-12.

Atria Dawn Preview is 21 months newer than Phi 4.

Atria Dawn Preview

Sep 11, 2026

4 days ago

1.7yr newer
Phi 4

Dec 12, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while Atria Dawn Preview's cutoff date is not specified.

We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Atria Dawn Preview's cutoff date.

Atria Dawn Preview

Phi 4

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Atria Dawn Preview and Phi 4 side-by-side, then vote on the output you prefer.

Atria Dawn Preview
✓ Preferred
Phi 4
Open in Playground

FAQ

Common questions about Atria Dawn Preview vs Phi 4.

Which is better, Atria Dawn Preview or Phi 4?

Atria Dawn Preview leads the LLM Stats Score 52.3 to 5.4. Atria Dawn Preview is made by Shanghai AI Laboratory and Phi 4 is made by Microsoft. 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 Phi 4 in benchmarks?

Atria Dawn Preview scores DeepSearchQA: 96.0%, BrowseComp: 92.5%, CyberGym: 86.5%, MLE-Bench Lite: 86.2%, WideSearch: 81.9%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

What are the context window sizes for Atria Dawn Preview and Phi 4?

Atria Dawn Preview supports an unknown number of tokens and Phi 4 supports 16K 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 Phi 4?

Key differences include LLM Stats Score (52.3 vs 5.4). See the full comparison above for benchmark-by-benchmark results.

Who makes Atria Dawn Preview and Phi 4?

Atria Dawn Preview is developed by Shanghai AI Laboratory and Phi 4 is developed by Microsoft.