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LongCat-2.5 vs MiMo-V2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 35.8. MiMo-V2.5 is 2.5x cheaper per token.

Meituan · Xiaomi · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 35.8, ranking #20 overall.

In the 3 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, MiMo-V2.5 is roughly 2.5x 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 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 value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Nov 2026

Choose MiMo-V2.5

  • cost matters — it's about 2.5x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

LongCat-2.5
Meituan
MiMo-V2.5
Xiaomi
Core performance indexes
LLM Stats Score
50.0
#20
35.8
#106
Reasoning
48.3
#21
35.6
#105
Coding
38.6
#27
28.1
#79
Agents
36.3
#23
20.6
#87
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.30 / M
$0.17 / M
Output price
$1.20 / M
$0.34 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LongCat-2.5
MiMo-V2.5
Vision
32.5#29
24.3#71
Multimodal
34.8#15
25.9#60
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 14 for MiMo-V2.5

3 shared

LongCat-2.5 outperforms in 2 benchmarks (CharXiv-R, Claw-Eval), while MiMo-V2.5 is better at 1 benchmark (Video-MME).

LongCat-2.5 shows notably better performance in the majority of benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

MiMo-V2.5 costs less

For input processing, LongCat-2.5 ($0.30/1M tokens) is 1.8x more expensive than MiMo-V2.5 ($0.17/1M tokens).

For output processing, LongCat-2.5 ($1.20/1M tokens) is 3.6x more expensive than MiMo-V2.5 ($0.34/1M tokens).

In conclusion, LongCat-2.5 is more expensive than MiMo-V2.5.*

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

Lowest available price from all providers
Fri Nov 06 2026 • llm-stats.com
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Xiaomi
MiMo-V2.5
Input tokens$0.17
Output tokens$0.34
Best providerNovita
Notice missing or incorrect data?

Model Size

Parameter count comparison

1289.2B diff

LongCat-2.5 has 1289.2B more parameters than MiMo-V2.5, making it 414.8% larger.

Meituan
LongCat-2.5
1.6Tparameters
Xiaomi
MiMo-V2.5
310.8Bparameters
1600.0B
LongCat-2.5
310.8B
MiMo-V2.5

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 131,072 tokens.

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Xiaomi
MiMo-V2.5
Input1,048,576 tokens
Output131,072 tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LongCat-2.5 and MiMo-V2.5 support multimodal inputs.

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

LongCat-2.5

Text
Images
Audio
Video

MiMo-V2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while MiMo-V2.5 was released on 2026-04-22.

LongCat-2.5 is 6 months newer than MiMo-V2.5.

LongCat-2.5

Nov 1, 2026

4 days ago

6mo newer
MiMo-V2.5

Apr 22, 2026

6 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

LongCat-2.5 is available from Meituan. MiMo-V2.5 is available from Novita, DeepInfra.

LongCat-2.5

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

MiMo-V2.5

novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.34/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-2.5 and MiMo-V2.5 side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
MiMo-V2.5
Open in Playground

FAQ

Common questions about LongCat-2.5 vs MiMo-V2.5.

Which is better, LongCat-2.5 or MiMo-V2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 35.8. LongCat-2.5 is made by Meituan and MiMo-V2.5 is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LongCat-2.5 compare to MiMo-V2.5 in benchmarks?

LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%. MiMo-V2.5 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%.

Is LongCat-2.5 cheaper than MiMo-V2.5?

MiMo-V2.5 is 1.8x cheaper for input tokens. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan. MiMo-V2.5 costs $0.17/M input and $0.34/M output via novita.

What are the context window sizes for LongCat-2.5 and MiMo-V2.5?

LongCat-2.5 supports 1.0M tokens and MiMo-V2.5 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 LongCat-2.5 and MiMo-V2.5?

Key differences include LLM Stats Score (50.0 vs 35.8), input pricing ($0.30 vs $0.17/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and MiMo-V2.5?

LongCat-2.5 is developed by Meituan and MiMo-V2.5 is developed by Xiaomi.

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