Model Comparison

Command A+ vs LongCat-Flash-ThinkingWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Command A+ vs LongCat-Flash-Thinking — which is better?

Command A+ (by Cohere) and LongCat-Flash-Thinking (by Meituan) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Command A+ outperforms in 1 benchmarks (Tau2 Telecom), while LongCat-Flash-Thinking is better at 1 benchmark (AIME 2025). Both models are evenly matched across the benchmarks.

Choose Command A+ if…

  • you want the most recent training data — it shipped May 2026

Choose LongCat-Flash-Thinking if…

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

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Command A+ outperforms in 1 benchmarks (Tau2 Telecom), while LongCat-Flash-Thinking is better at 1 benchmark (AIME 2025).

Both models are evenly matched across the benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

342.0B diff

LongCat-Flash-Thinking has 342.0B more parameters than Command A+, making it 156.9% larger.

Cohere
Command A+
218.0Bparameters
Meituan
LongCat-Flash-Thinking
560.0Bparameters
218.0B
Command A+
560.0B
LongCat-Flash-Thinking

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking specifies input context (128,000 tokens). Only LongCat-Flash-Thinking specifies output context (128,000 tokens).

Cohere
Command A+
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Command A+ supports multimodal inputs, whereas LongCat-Flash-Thinking does not.

Command A+ can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command A+

Text
Images
Audio
Video

LongCat-Flash-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Command A+ is licensed under Apache 2.0, while LongCat-Flash-Thinking uses MIT.

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

Command A+

Apache 2.0

Open weights

LongCat-Flash-Thinking

MIT

Open weights

Release Timeline

When each model was launched

Command A+ was released on 2026-05-20, while LongCat-Flash-Thinking was released on 2025-09-22.

Command A+ is 8 months newer than LongCat-Flash-Thinking.

Command A+

May 20, 2026

2 months ago

8mo newer
LongCat-Flash-Thinking

Sep 22, 2025

10 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Supports multimodal inputs
Higher Tau2 Telecom score (85.0% vs 83.1%)
Meituan
Larger context window (128,000 tokens)
Higher AIME 2025 score (90.6% vs 90.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Command A+ and LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.

Command A+
✓ Preferred
LongCat-Flash-Thinking
Open in Playground
AI Model Comparison Table
Feature
Cohere
Command A+
Meituan
LongCat-Flash-Thinking

FAQ

Common questions about Command A+ vs LongCat-Flash-Thinking.

Which is better, Command A+ or LongCat-Flash-Thinking?

Both models are evenly matched across the benchmarks. Command A+ is made by Cohere and LongCat-Flash-Thinking is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Command A+ compare to LongCat-Flash-Thinking in benchmarks?

Command A+ scores AIME 2025: 90.0%, CharXiv-D: 88.0%, MT-AIME 2025: 86.0%, Tau2 Telecom: 85.0%, WMT24++: 81.0%. LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%.

What are the context window sizes for Command A+ and LongCat-Flash-Thinking?

Command A+ supports an unknown number of tokens and LongCat-Flash-Thinking supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Command A+ and LongCat-Flash-Thinking?

Key differences include multimodal support (yes vs no), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command A+ and LongCat-Flash-Thinking?

Command A+ is developed by Cohere and LongCat-Flash-Thinking is developed by Meituan.

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