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DeepSeek VL2 vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 2.3.

DeepSeek · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 2.3, ranking #20 overall.

LongCat-2.5 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek VL2

  • 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 — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

DeepSeek VL2
DeepSeek
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
2.3
#351
50.0
#20
Reasoning
-2.4
#371
48.3
#21
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
129,280
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2
LongCat-2.5
Vision
1.8#198
32.5#29
Multimodal
4.6#161
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 · 23 for LongCat-2.5

No common benchmarks found

DeepSeek VL2 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

1573.0B diff

LongCat-2.5 has 1573.0B more parameters than DeepSeek VL2, making it 5825.9% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Meituan
LongCat-2.5
1.6Tparameters
27.0B
DeepSeek VL2
1600.0B
LongCat-2.5

Context Window

Maximum input and output token capacity

LongCat-2.5 accepts 1,048,576 input tokens compared to DeepSeek VL2's 129,280 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while DeepSeek VL2 is limited to 129,280 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 and LongCat-2.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 23 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.9 years ago

LongCat-2.5

Nov 1, 2026

3 days ago

1.9yr 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

Provider Availability

DeepSeek VL2 is available from Replicate. LongCat-2.5 is available from Meituan.

DeepSeek VL2

replicate logo
Replicate

LongCat-2.5

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek VL2 and LongCat-2.5 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs LongCat-2.5.

Which is better, DeepSeek VL2 or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 2.3. DeepSeek VL2 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 VL2 compare to LongCat-2.5 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. 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 VL2 and LongCat-2.5?

DeepSeek VL2 supports 129K 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 VL2 and LongCat-2.5?

Key differences include LLM Stats Score (2.3 vs 50.0), context window (129K vs 1.0M), licensing (deepseek vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and LongCat-2.5?

DeepSeek VL2 is developed by DeepSeek and LongCat-2.5 is developed by Meituan.

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