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DeepSeek-V4.1-Flash-1017 vs LongCat-Flash-Lite

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 18.3. LongCat-Flash-Lite is 3.0x cheaper per token.

DeepSeek · Meituan · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 18.3, ranking #15 overall.

On price, LongCat-Flash-Lite is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — 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 Oct 2026

Choose LongCat-Flash-Lite

  • cost matters — it's about 3.0x cheaper per token

At a glance

The differences that matter most.

Core performance indexes
51.0
#15
18.3
#234
48.6
#18
18.6
#227
39.1
#15
6.7
#207
38.6
#9
3.9
#180
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.10 / M
Output price
$1.20 / M
$0.40 / M
Context window
1,048,576
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash-1017
LongCat-Flash-Lite
31.8#67
17.2#206
30.9#7
9.5#150
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 13 for LongCat-Flash-Lite

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and LongCat-Flash-Litedon'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

Pricing Analysis

Price comparison per million tokens

LongCat-Flash-Lite costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 3.0x more expensive than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 3.0x more expensive than LongCat-Flash-Lite ($0.40/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than LongCat-Flash-Lite.*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Notice missing or incorrect data?

Model Size

Parameter count comparison

694.7B diff

DeepSeek-V4.1-Flash-1017 has 694.7B more parameters than LongCat-Flash-Lite, making it 1014.2% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Meituan
LongCat-Flash-Lite
68.5Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
68.5B
LongCat-Flash-Lite

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while LongCat-Flash-Lite is limited to 128,000 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas LongCat-Flash-Lite does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

LongCat-Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V4.1-Flash-1017

MIT

Open weights

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while LongCat-Flash-Lite was released on 2026-02-05.

DeepSeek-V4.1-Flash-1017 is 8 months newer than LongCat-Flash-Lite.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

0 days ago

8mo newer
LongCat-Flash-Lite

Feb 5, 2026

8 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

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. LongCat-Flash-Lite is available from Meituan.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

LongCat-Flash-Lite

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and LongCat-Flash-Lite side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
LongCat-Flash-Lite
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs LongCat-Flash-Lite.

Which is better, DeepSeek-V4.1-Flash-1017 or LongCat-Flash-Lite?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 18.3. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and LongCat-Flash-Lite 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-V4.1-Flash-1017 compare to LongCat-Flash-Lite in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.

Is DeepSeek-V4.1-Flash-1017 cheaper than LongCat-Flash-Lite?

LongCat-Flash-Lite is 3.0x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and LongCat-Flash-Lite?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and LongCat-Flash-Lite supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and LongCat-Flash-Lite?

Key differences include LLM Stats Score (51.0 vs 18.3), context window (1.0M vs 256K), input pricing ($0.30 vs $0.10/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and LongCat-Flash-Lite?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and LongCat-Flash-Lite is developed by Meituan.