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DeepSeek R1 Zero vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 15.4.

DeepSeek · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 15.4, ranking #20 overall.

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

Choose DeepSeek R1 Zero

  • you need open weights you can self-host or fine-tune

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

DeepSeek R1 Zero
DeepSeek
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
15.4
#266
50.0
#20
Reasoning
15.8
#256
48.3
#21
Coding
4.2
#243
38.6
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
LongCat-2.5
Math
17.5#209
37.2#37
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 23 for LongCat-2.5

No common benchmarks found

DeepSeek R1 Zero and LongCat-2.5don'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

929.0B diff

LongCat-2.5 has 929.0B more parameters than DeepSeek R1 Zero, making it 138.5% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
Meituan
LongCat-2.5
1.6Tparameters
671.0B
DeepSeek R1 Zero
1600.0B
LongCat-2.5

Context Window

Maximum input and output token capacity

Only LongCat-2.5 specifies input context (1,048,576 tokens). Only LongCat-2.5 specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas DeepSeek R1 Zero does not.

LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Zero

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 22 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.8 years ago

LongCat-2.5

Nov 1, 2026

1 days ago

1.8yr newer

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?

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and LongCat-2.5 side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs LongCat-2.5.

Which is better, DeepSeek R1 Zero or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 15.4. DeepSeek R1 Zero is made by DeepSeek and LongCat-2.5 is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Zero compare to LongCat-2.5 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

What are the context window sizes for DeepSeek R1 Zero and LongCat-2.5?

DeepSeek R1 Zero supports an unknown number of tokens and LongCat-2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Zero and LongCat-2.5?

Key differences include LLM Stats Score (15.4 vs 50.0), multimodal support (no vs yes), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and LongCat-2.5?

DeepSeek R1 Zero is developed by DeepSeek and LongCat-2.5 is developed by Meituan.

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