The AI arena is free today

Open Superagent

DeepSeek-V4-Flash-Max vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 49.7 to 38.5. DeepSeek-V4-Flash-Max is 4.7x cheaper per token.

DeepSeek · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 49.7 to 38.5, ranking #22 overall.

In the 2 individual benchmarks reported for both models, LongCat-2.5 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4-Flash-Max is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose DeepSeek-V4-Flash-Max

  • cost matters — it's about 4.7x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose LongCat-2.5

  • overall performance matters — it scores 49.7 and ranks #22 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

DeepSeek-V4-Flash-Max
DeepSeek
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
38.5
#86
49.7
#22
Reasoning
39.3
#81
48.0
#23
Coding
28.3
#80
38.0
#28
Agents
17.7
#102
35.8
#24
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.09 / M
$0.30 / M
Output price
$0.18 / M
$1.20 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4-Flash-Max
LongCat-2.5
Math
39.1#21
37.1#38
Tool use
16.8#100
29.9#18
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for DeepSeek-V4-Flash-Max · 23 for LongCat-2.5

2 shared

DeepSeek-V4-Flash-Max outperforms in 0 benchmarks, while LongCat-2.5 is better at 2 benchmarks (BrowseComp, MCP Atlas).

LongCat-2.5 significantly outperforms across most benchmarks.

Wed Nov 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-Max costs less

For input processing, DeepSeek-V4-Flash-Max ($0.09/1M tokens) is 3.3x cheaper than LongCat-2.5 ($0.30/1M tokens).

For output processing, DeepSeek-V4-Flash-Max ($0.18/1M tokens) is 6.7x cheaper than LongCat-2.5 ($1.20/1M tokens).

In conclusion, LongCat-2.5 is more expensive than DeepSeek-V4-Flash-Max.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Nov 11 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-Max
Input tokens$0.09
Output tokens$0.18
Best providerDeepinfra
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Model Size

Parameter count comparison

1316.0B diff

LongCat-2.5 has 1316.0B more parameters than DeepSeek-V4-Flash-Max, making it 463.4% larger.

DeepSeek
DeepSeek-V4-Flash-Max
284.0Bparameters
Meituan
LongCat-2.5
1.6Tparameters
284.0B
DeepSeek-V4-Flash-Max
1600.0B
LongCat-2.5

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 1,048,576 tokens, while LongCat-2.5 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output1,048,576 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.

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

DeepSeek-V4-Flash-Max

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Max was released on 2026-04-23, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 6 months newer than DeepSeek-V4-Flash-Max.

DeepSeek-V4-Flash-Max

Apr 23, 2026

6 months ago

LongCat-2.5

Nov 1, 2026

1 weeks ago

6mo 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-V4-Flash-Max is available from DeepInfra, DeepSeek. LongCat-2.5 is available from Meituan.

DeepSeek-V4-Flash-Max

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.18/1M
deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M

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-V4-Flash-Max and LongCat-2.5 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Max
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Max vs LongCat-2.5.

Which is better, DeepSeek-V4-Flash-Max or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 49.7 to 38.5. DeepSeek-V4-Flash-Max 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-V4-Flash-Max compare to LongCat-2.5 in benchmarks?

DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

Is DeepSeek-V4-Flash-Max cheaper than LongCat-2.5?

DeepSeek-V4-Flash-Max is 3.3x cheaper for input tokens. DeepSeek-V4-Flash-Max costs $0.09/M input and $0.18/M output via deepinfra. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for DeepSeek-V4-Flash-Max and LongCat-2.5?

DeepSeek-V4-Flash-Max supports 1.0M 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-V4-Flash-Max and LongCat-2.5?

Key differences include LLM Stats Score (38.5 vs 49.7), input pricing ($0.09 vs $0.30/M), multimodal support (no vs yes), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Max and LongCat-2.5?

DeepSeek-V4-Flash-Max is developed by DeepSeek and LongCat-2.5 is developed by Meituan.

Related comparisons