Model Comparison

LongCat-Flash-Thinking vs Nova 2 OmniWhich is better in 2026?

Nova 2 Omni has a slight edge in benchmark performance.

Verdict: LongCat-Flash-Thinking vs Nova 2 Omni — which is better?

LongCat-Flash-Thinking (by Meituan) and Nova 2 Omni (by Amazon) 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.

LongCat-Flash-Thinking outperforms in 2 benchmarks (MMLU-Pro, Tau2 Telecom), while Nova 2 Omni is better at 3 benchmarks (AIME 2025, Tau2 Airline, Tau2 Retail). Nova 2 Omni has a slight edge in benchmark performance.

Choose LongCat-Flash-Thinking if…

  • you need open weights you can self-host or fine-tune

Choose Nova 2 Omni if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

LongCat-Flash-Thinking outperforms in 2 benchmarks (MMLU-Pro, Tau2 Telecom), while Nova 2 Omni is better at 3 benchmarks (AIME 2025, Tau2 Airline, Tau2 Retail).

Nova 2 Omni has a slight edge in benchmark performance.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

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).

Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Amazon
Nova 2 Omni
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Nova 2 Omni supports multimodal inputs, whereas LongCat-Flash-Thinking does not.

Nova 2 Omni can handle both text and other forms of data like images, making it suitable for multimodal applications.

LongCat-Flash-Thinking

Text
Images
Audio
Video

Nova 2 Omni

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-Thinking is licensed under MIT, while Nova 2 Omni uses a proprietary license.

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

LongCat-Flash-Thinking

MIT

Open weights

Nova 2 Omni

Proprietary

Closed source

Release Timeline

When each model was launched

LongCat-Flash-Thinking was released on 2025-09-22, while Nova 2 Omni was released on 2025-12-02.

Nova 2 Omni is 2 months newer than LongCat-Flash-Thinking.

LongCat-Flash-Thinking

Sep 22, 2025

10 months ago

Nova 2 Omni

Dec 2, 2025

7 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meituan
Larger context window (128,000 tokens)
Has open weights
Higher MMLU-Pro score (82.6% vs 80.7%)
Higher Tau2 Telecom score (83.1% vs 80.0%)
Amazon
Supports multimodal inputs
Higher AIME 2025 score (92.1% vs 90.6%)
Higher Tau2 Airline score (68.8% vs 67.5%)
Higher Tau2 Retail score (78.3% vs 71.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against LongCat-Flash-Thinking and Nova 2 Omni side-by-side, then vote on the output you prefer.

LongCat-Flash-Thinking
✓ Preferred
Nova 2 Omni
Open in Playground
AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Thinking
Amazon
Nova 2 Omni

FAQ

Common questions about LongCat-Flash-Thinking vs Nova 2 Omni.

Which is better, LongCat-Flash-Thinking or Nova 2 Omni?

Nova 2 Omni has a slight edge in benchmark performance. LongCat-Flash-Thinking is made by Meituan and Nova 2 Omni is made by Amazon. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does LongCat-Flash-Thinking compare to Nova 2 Omni 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%. Nova 2 Omni scores AIME 2025: 92.1%, RefCOCOg: 86.3%, ScreenSpot: 85.4%, MMLU-Pro: 80.7%, Tau2 Telecom: 80.0%.

What are the context window sizes for LongCat-Flash-Thinking and Nova 2 Omni?

LongCat-Flash-Thinking supports 128K tokens and Nova 2 Omni supports an unknown number of 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 Nova 2 Omni?

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

Who makes LongCat-Flash-Thinking and Nova 2 Omni?

LongCat-Flash-Thinking is developed by Meituan and Nova 2 Omni is developed by Amazon.

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