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Atria Dawn Preview vs LongCat-Flash-Thinking

Atria Dawn Preview leads the LLM Stats Score 52.3 to 28.6.

Shanghai AI Laboratory · Meituan · Updated for 2026

Which is better?

Atria Dawn Preview leads the overall LLM Stats Score 52.3 to 28.6, 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 LongCat-Flash-Thinking

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

Atria Dawn Preview
Shanghai AI Laboratory
LongCat-Flash-Thinking
Meituan
Core performance indexes
LLM Stats Score
52.3
#10
28.6
#133
Reasoning
50.5
#12
28.8
#124
Coding
36.2
#22
14.0
#135
Agents
38.8
#10
13.0
#95
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Atria Dawn Preview
LongCat-Flash-Thinking
Tool use
31.1#12
15.8#88
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Atria Dawn Preview · 14 for LongCat-Flash-Thinking

No common benchmarks found

Atria Dawn Preview and LongCat-Flash-Thinkingdon'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

184.0B diff

Atria Dawn Preview has 184.0B more parameters than LongCat-Flash-Thinking, making it 32.9% larger.

Shanghai AI Laboratory
Atria Dawn Preview
744.0Bparameters
Meituan
LongCat-Flash-Thinking
560.0Bparameters
744.0B
Atria Dawn Preview
560.0B
LongCat-Flash-Thinking

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking specifies input context (128,000 tokens). Only LongCat-Flash-Thinking specifies output context (128,000 tokens).

Shanghai AI Laboratory
Atria Dawn Preview
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 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

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

Atria Dawn Preview was released on 2026-09-11, while LongCat-Flash-Thinking was released on 2025-09-22.

Atria Dawn Preview is 12 months newer than LongCat-Flash-Thinking.

Atria Dawn Preview

Sep 11, 2026

1 weeks ago

11mo newer
LongCat-Flash-Thinking

Sep 22, 2025

12 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 LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.

Atria Dawn Preview
✓ Preferred
LongCat-Flash-Thinking
Open in Playground

FAQ

Common questions about Atria Dawn Preview vs LongCat-Flash-Thinking.

Which is better, Atria Dawn Preview or LongCat-Flash-Thinking?

Atria Dawn Preview leads the LLM Stats Score 52.3 to 28.6. Atria Dawn Preview is made by Shanghai AI Laboratory and LongCat-Flash-Thinking is made by Meituan. 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 LongCat-Flash-Thinking in benchmarks?

Atria Dawn Preview scores DeepSearchQA: 96.0%, BrowseComp: 92.5%, CyberGym: 86.5%, MLE-Bench Lite: 86.2%, WideSearch: 81.9%. LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.

What are the context window sizes for Atria Dawn Preview and LongCat-Flash-Thinking?

Atria Dawn Preview supports an unknown number of tokens and LongCat-Flash-Thinking 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 LongCat-Flash-Thinking?

Key differences include LLM Stats Score (52.3 vs 28.6). See the full comparison above for benchmark-by-benchmark results.

Who makes Atria Dawn Preview and LongCat-Flash-Thinking?

Atria Dawn Preview is developed by Shanghai AI Laboratory and LongCat-Flash-Thinking is developed by Meituan.

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