The AI arena is free today

Open Superagent

Atria Dawn Preview vs DeepSeek-V3.1

Atria Dawn Preview leads the LLM Stats Score 52.3 to 22.1.

Shanghai AI Laboratory · DeepSeek · Updated for 2026

Which is better?

Atria Dawn Preview leads the overall LLM Stats Score 52.3 to 22.1, ranking #10 overall.

In the 1 individual benchmarks reported for both models, Atria Dawn Preview wins 1; this is a narrower head-to-head signal than the composite indexes.

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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose DeepSeek-V3.1

  • you want predictable pricing at $0.25/M input and $0.95/M output

At a glance

The differences that matter most.

Atria Dawn Preview
Shanghai AI Laboratory
DeepSeek-V3.1
DeepSeek
Core performance indexes
LLM Stats Score
52.3
#10
22.1
#179
Reasoning
50.5
#12
22.3
#171
Coding
36.2
#22
12.5
#144
Agents
38.8
#10
0.3
#172
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.25 / M
Output price
— / M
$0.95 / M
Context window
—
163,840

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Atria Dawn Preview
DeepSeek-V3.1
Research
36.1#1
0.7#80
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Atria Dawn Preview · 16 for DeepSeek-V3.1

1 shared

Atria Dawn Preview outperforms in 1 benchmarks (BrowseComp), while DeepSeek-V3.1 is better at 0 benchmarks.

Atria Dawn Preview significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

73.0B diff

Atria Dawn Preview has 73.0B more parameters than DeepSeek-V3.1, making it 10.9% larger.

Shanghai AI Laboratory
Atria Dawn Preview
744.0Bparameters
DeepSeek
DeepSeek-V3.1
671.0Bparameters
744.0B
Atria Dawn Preview
671.0B
DeepSeek-V3.1

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

Shanghai AI Laboratory
Atria Dawn Preview
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Sun Sep 20 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-V3.1

MIT

Open weights

Release Timeline

When each model was launched

Atria Dawn Preview was released on 2026-09-11, while DeepSeek-V3.1 was released on 2025-01-10.

Atria Dawn Preview is 20 months newer than DeepSeek-V3.1.

Atria Dawn Preview

Sep 11, 2026

1 weeks ago

1.7yr newer
DeepSeek-V3.1

Jan 10, 2025

1.7 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 DeepSeek-V3.1 side-by-side, then vote on the output you prefer.

Atria Dawn Preview
✓ Preferred
DeepSeek-V3.1
Open in Playground

FAQ

Common questions about Atria Dawn Preview vs DeepSeek-V3.1.

Which is better, Atria Dawn Preview or DeepSeek-V3.1?

Atria Dawn Preview leads the LLM Stats Score 52.3 to 22.1. Atria Dawn Preview is made by Shanghai AI Laboratory and DeepSeek-V3.1 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-V3.1 in benchmarks?

Atria Dawn Preview scores DeepSearchQA: 96.0%, BrowseComp: 92.5%, CyberGym: 86.5%, MLE-Bench Lite: 86.2%, WideSearch: 81.9%. DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%.

What are the context window sizes for Atria Dawn Preview and DeepSeek-V3.1?

Atria Dawn Preview supports an unknown number of tokens and DeepSeek-V3.1 supports 164K 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-V3.1?

Key differences include LLM Stats Score (52.3 vs 22.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Atria Dawn Preview and DeepSeek-V3.1?

Atria Dawn Preview is developed by Shanghai AI Laboratory and DeepSeek-V3.1 is developed by DeepSeek.

Related comparisons