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LongCat-Flash-Lite vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 18.6. LongCat-Flash-Lite is 5.9x cheaper per token.

Meituan · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 18.6, ranking #34 overall.

On price, LongCat-Flash-Lite is roughly 5.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 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 LongCat-Flash-Lite

  • cost matters — it's about 5.9x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

LongCat-Flash-Lite
Meituan
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
18.6
#226
46.2
#34
Reasoning
18.9
#219
44.0
#43
Coding
7.0
#200
35.8
#27
Agents
4.0
#172
34.3
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.68 / M
Output price
$0.40 / M
$2.09 / M
Context window
256,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-Flash-Lite
Mistral Large 4
Tool use
9.5#143
27.1#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for LongCat-Flash-Lite · 18 for Mistral Large 4

No common benchmarks found

LongCat-Flash-Lite and Mistral Large 4don'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, LongCat-Flash-Lite ($0.10/1M tokens) is 6.8x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, LongCat-Flash-Lite ($0.40/1M tokens) is 5.2x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than LongCat-Flash-Lite.*

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

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Meituan
LongCat-Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerMeituan
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

981.5B diff

Mistral Large 4 has 981.5B more parameters than LongCat-Flash-Lite, making it 1432.8% larger.

Meituan
LongCat-Flash-Lite
68.5Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
68.5B
LongCat-Flash-Lite
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to LongCat-Flash-Lite's 256,000 tokens. Only LongCat-Flash-Lite specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Lite
Input256,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas LongCat-Flash-Lite does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

LongCat-Flash-Lite

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-Lite is licensed under MIT, while Mistral Large 4 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

LongCat-Flash-Lite

MIT

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

LongCat-Flash-Lite was released on 2026-02-05, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 8 months newer than LongCat-Flash-Lite.

LongCat-Flash-Lite

Feb 5, 2026

8 months ago

Mistral Large 4

Oct 6, 2026

1 days ago

8mo 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

LongCat-Flash-Lite is available from Meituan. Mistral Large 4 is available from Mistral AI.

LongCat-Flash-Lite

meituan logo
Meituan
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-Flash-Lite and Mistral Large 4 side-by-side, then vote on the output you prefer.

LongCat-Flash-Lite
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about LongCat-Flash-Lite vs Mistral Large 4.

Which is better, LongCat-Flash-Lite or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 18.6. LongCat-Flash-Lite is made by Meituan and Mistral Large 4 is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LongCat-Flash-Lite compare to Mistral Large 4 in benchmarks?

LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is LongCat-Flash-Lite cheaper than Mistral Large 4?

LongCat-Flash-Lite is 6.8x cheaper for input tokens. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for LongCat-Flash-Lite and Mistral Large 4?

LongCat-Flash-Lite supports 256K tokens and Mistral Large 4 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 LongCat-Flash-Lite and Mistral Large 4?

Key differences include LLM Stats Score (18.6 vs 46.2), context window (256K vs 1.0M), input pricing ($0.10 vs $0.68/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Lite and Mistral Large 4?

LongCat-Flash-Lite is developed by Meituan and Mistral Large 4 is developed by Mistral AI.

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