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Atria Dawn Preview vs DeepSeek-V3.2-Speciale

Atria Dawn Preview leads the LLM Stats Score 52.3 to 33.9.

Shanghai AI Laboratory · DeepSeek · Updated for 2026

Which is better?

Atria Dawn Preview leads the overall LLM Stats Score 52.3 to 33.9, 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 DeepSeek-V3.2-Speciale

  • you want predictable pricing at $0.28/M input and $0.42/M output

At a glance

The differences that matter most.

Atria Dawn Preview
Shanghai AI Laboratory
DeepSeek-V3.2-Speciale
DeepSeek
Core performance indexes
LLM Stats Score
52.3
#10
33.9
#96
Reasoning
50.5
#12
32.5
#103
Coding
36.2
#22
18.6
#111
Agents
38.8
#10
10.9
#113
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.28 / M
Output price
— / M
$0.42 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Atria Dawn Preview
DeepSeek-V3.2-Speciale
Tool use
31.1#12
10.4#125
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Atria Dawn Preview · 8 for DeepSeek-V3.2-Speciale

No common benchmarks found

Atria Dawn Preview and DeepSeek-V3.2-Specialedon'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

59.0B diff

Atria Dawn Preview has 59.0B more parameters than DeepSeek-V3.2-Speciale, making it 8.6% larger.

Shanghai AI Laboratory
Atria Dawn Preview
744.0Bparameters
DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
744.0B
Atria Dawn Preview
685.0B
DeepSeek-V3.2-Speciale

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Speciale specifies input context (131,072 tokens). Only DeepSeek-V3.2-Speciale specifies output context (131,072 tokens).

Shanghai AI Laboratory
Atria Dawn Preview
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Mon Sep 21 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

DeepSeek-V3.2-Speciale

MIT

Open weights

Release Timeline

When each model was launched

Atria Dawn Preview was released on 2026-09-11, while DeepSeek-V3.2-Speciale was released on 2025-12-01.

Atria Dawn Preview is 9 months newer than DeepSeek-V3.2-Speciale.

Atria Dawn Preview

Sep 11, 2026

1 weeks ago

9mo newer
DeepSeek-V3.2-Speciale

Dec 1, 2025

9 months 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 DeepSeek-V3.2-Speciale side-by-side, then vote on the output you prefer.

Atria Dawn Preview
✓ Preferred
DeepSeek-V3.2-Speciale
Open in Playground

FAQ

Common questions about Atria Dawn Preview vs DeepSeek-V3.2-Speciale.

Which is better, Atria Dawn Preview or DeepSeek-V3.2-Speciale?

Atria Dawn Preview leads the LLM Stats Score 52.3 to 33.9. Atria Dawn Preview is made by Shanghai AI Laboratory and DeepSeek-V3.2-Speciale is made by DeepSeek. 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 DeepSeek-V3.2-Speciale in benchmarks?

Atria Dawn Preview scores DeepSearchQA: 96.0%, BrowseComp: 92.5%, CyberGym: 86.5%, MLE-Bench Lite: 86.2%, WideSearch: 81.9%. DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%.

What are the context window sizes for Atria Dawn Preview and DeepSeek-V3.2-Speciale?

Atria Dawn Preview supports an unknown number of tokens and DeepSeek-V3.2-Speciale supports 131K 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 DeepSeek-V3.2-Speciale?

Key differences include LLM Stats Score (52.3 vs 33.9). See the full comparison above for benchmark-by-benchmark results.

Who makes Atria Dawn Preview and DeepSeek-V3.2-Speciale?

Atria Dawn Preview is developed by Shanghai AI Laboratory and DeepSeek-V3.2-Speciale is developed by DeepSeek.

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