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LongCat-Flash-Thinking-2601 vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 35.3. LongCat-Flash-Thinking-2601 is 1.0x cheaper per token.

Meituan · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 35.3, ranking #19 overall.

MiMo-V2.6-Pro 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 LongCat-Flash-Thinking-2601

  • you want predictable pricing at $0.30/M input and $1.20/M output

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 49.8 and ranks #19 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 Sep 2026

At a glance

The differences that matter most.

LongCat-Flash-Thinking-2601
Meituan
MiMo-V2.6-Pro
Xiaomi
Core performance indexes
LLM Stats Score
35.3
#89
49.8
#19
Reasoning
35.5
#84
45.2
#30
Coding
18.8
#112
41.8
#9
Agents
9.6
#124
37.5
#13
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.43 / M
Output price
$1.20 / M
$0.87 / M
Context window
128,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-Flash-Thinking-2601
MiMo-V2.6-Pro
Tool use
24.1#33
28.0#21
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for LongCat-Flash-Thinking-2601 · 18 for MiMo-V2.6-Pro

No common benchmarks found

LongCat-Flash-Thinking-2601 and MiMo-V2.6-Prodon'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-Thinking-2601 costs less

For input processing, LongCat-Flash-Thinking-2601 ($0.30/1M tokens) is 1.4x cheaper than MiMo-V2.6-Pro ($0.43/1M tokens).

For output processing, LongCat-Flash-Thinking-2601 ($1.20/1M tokens) is 1.4x more expensive than MiMo-V2.6-Pro ($0.87/1M tokens).

In conclusion, MiMo-V2.6-Pro is more expensive than LongCat-Flash-Thinking-2601.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking-2601
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Xiaomi
MiMo-V2.6-Pro
Input tokens$0.43
Output tokens$0.87
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

460.0B diff

MiMo-V2.6-Pro has 460.0B more parameters than LongCat-Flash-Thinking-2601, making it 82.1% larger.

Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
560.0B
LongCat-Flash-Thinking-2601
1020.0B
MiMo-V2.6-Pro

Context Window

Maximum input and output token capacity

MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 does not.

MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

LongCat-Flash-Thinking-2601

Text
Images
Audio
Video

MiMo-V2.6-Pro

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.

LongCat-Flash-Thinking-2601

MIT

Open weights

MiMo-V2.6-Pro

MIT

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking-2601 was released on 2026-01-14, while MiMo-V2.6-Pro was released on 2026-09-22.

MiMo-V2.6-Pro is 8 months newer than LongCat-Flash-Thinking-2601.

LongCat-Flash-Thinking-2601

Jan 14, 2026

8 months ago

MiMo-V2.6-Pro

Sep 22, 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-Thinking-2601 is available from Meituan. MiMo-V2.6-Pro is available from Xiaomi.

LongCat-Flash-Thinking-2601

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

MiMo-V2.6-Pro

xiaomi logo
Xiaomi
Input Price:Input: $0.43/1MOutput Price:Output: $0.87/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against LongCat-Flash-Thinking-2601 and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.

LongCat-Flash-Thinking-2601
✓ Preferred
MiMo-V2.6-Pro
Open in Playground

FAQ

Common questions about LongCat-Flash-Thinking-2601 vs MiMo-V2.6-Pro.

Which is better, LongCat-Flash-Thinking-2601 or MiMo-V2.6-Pro?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 35.3. LongCat-Flash-Thinking-2601 is made by Meituan and MiMo-V2.6-Pro 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-Flash-Thinking-2601 compare to MiMo-V2.6-Pro in benchmarks?

LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%. MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%.

Is LongCat-Flash-Thinking-2601 cheaper than MiMo-V2.6-Pro?

LongCat-Flash-Thinking-2601 is 1.4x cheaper for input tokens. LongCat-Flash-Thinking-2601 costs $0.30/M input and $1.20/M output via meituan. MiMo-V2.6-Pro costs $0.43/M input and $0.87/M output via xiaomi.

What are the context window sizes for LongCat-Flash-Thinking-2601 and MiMo-V2.6-Pro?

LongCat-Flash-Thinking-2601 supports 128K tokens and MiMo-V2.6-Pro 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-Thinking-2601 and MiMo-V2.6-Pro?

Key differences include LLM Stats Score (35.3 vs 49.8), context window (128K vs 1.0M), input pricing ($0.30 vs $0.43/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Thinking-2601 and MiMo-V2.6-Pro?

LongCat-Flash-Thinking-2601 is developed by Meituan and MiMo-V2.6-Pro is developed by Xiaomi.

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