Model Comparison

LongCat-Flash-Thinking vs MiMo-V2-Flash

MiMo-V2-Flash significantly outperforms across most benchmarks. MiMo-V2-Flash is 3.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

LongCat-Flash-Thinking outperforms in 0 benchmarks, while MiMo-V2-Flash is better at 4 benchmarks (AIME 2025, GPQA, MMLU-Pro, SWE-Bench Verified).

MiMo-V2-Flash significantly outperforms across most benchmarks.

Mon Jun 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Flash costs less

For input processing, LongCat-Flash-Thinking ($0.30/1M tokens) is 3.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).

For output processing, LongCat-Flash-Thinking ($1.20/1M tokens) is 4.0x more expensive than MiMo-V2-Flash ($0.30/1M tokens).

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

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

Lowest available price from all providers
Mon Jun 01 2026 • llm-stats.com
Meituan
LongCat-Flash-Thinking
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Xiaomi
MiMo-V2-Flash
Input tokens$0.10
Output tokens$0.30
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

251.0B diff

LongCat-Flash-Thinking has 251.0B more parameters than MiMo-V2-Flash, making it 81.2% larger.

Meituan
LongCat-Flash-Thinking
560.0Bparameters
Xiaomi
MiMo-V2-Flash
309.0Bparameters
560.0B
LongCat-Flash-Thinking
309.0B
MiMo-V2-Flash

Context Window

Maximum input and output token capacity

MiMo-V2-Flash accepts 256,000 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. LongCat-Flash-Thinking can generate longer responses up to 128,000 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.

Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Mon Jun 01 2026 • llm-stats.com

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

MIT

Open weights

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking was released on 2025-09-22, while MiMo-V2-Flash was released on 2025-12-16.

MiMo-V2-Flash is 3 months newer than LongCat-Flash-Thinking.

LongCat-Flash-Thinking

Sep 22, 2025

8 months ago

MiMo-V2-Flash

Dec 16, 2025

5 months ago

2mo 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 is available from Meituan. MiMo-V2-Flash is available from Xiaomi.

LongCat-Flash-Thinking

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

MiMo-V2-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meituan

No standout differentiators in the data we have for this pair.

Xiaomi
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (94.1% vs 90.6%)
Higher GPQA score (83.7% vs 81.5%)
Higher MMLU-Pro score (84.9% vs 82.6%)
Higher SWE-Bench Verified score (73.4% vs 59.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Thinking
Xiaomi
MiMo-V2-Flash

FAQ

Common questions about LongCat-Flash-Thinking vs MiMo-V2-Flash.

Which is better, LongCat-Flash-Thinking or MiMo-V2-Flash?

MiMo-V2-Flash significantly outperforms across most benchmarks. LongCat-Flash-Thinking is made by Meituan and MiMo-V2-Flash is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does LongCat-Flash-Thinking compare to MiMo-V2-Flash in benchmarks?

LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%. MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.

Is LongCat-Flash-Thinking cheaper than MiMo-V2-Flash?

MiMo-V2-Flash is 3.0x cheaper for input tokens. LongCat-Flash-Thinking costs $0.30/M input and $1.20/M output via meituan. MiMo-V2-Flash costs $0.10/M input and $0.30/M output via xiaomi.

What are the context window sizes for LongCat-Flash-Thinking and MiMo-V2-Flash?

LongCat-Flash-Thinking supports 128K tokens and MiMo-V2-Flash 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 LongCat-Flash-Thinking and MiMo-V2-Flash?

Key differences include context window (128K vs 256K), input pricing ($0.30 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Thinking and MiMo-V2-Flash?

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