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LongCat-Flash-Thinking vs Nova 2 Pro

LongCat-Flash-Thinking and Nova 2 Pro are closely matched at 28.5 and 30.6 on the LLM Stats Score.

Meituan · Amazon · Updated for 2026

Which is better?

LongCat-Flash-Thinking and Nova 2 Pro are closely matched on the overall LLM Stats Score at 28.5 and 30.6.

The models split the 8 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose LongCat-Flash-Thinking

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

Choose Nova 2 Pro

  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

LongCat-Flash-Thinking
Meituan
Nova 2 Pro
Amazon
Core performance indexes
LLM Stats Score
28.5
#155
30.6
#138
Reasoning
28.6
#148
30.5
#136
Coding
13.7
#156
19.1
#126
Agents
12.9
#116
12.0
#127
Cost, coverage & limits
Benchmark wins
4 of 8
4 of 8
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LongCat-Flash-Thinking
Nova 2 Pro
Math
28.1#100
25.9#112
Tool use
15.7#100
15.1#108
Writing
18.5#27
23.3#9
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for LongCat-Flash-Thinking · 18 for Nova 2 Pro

8 shared

LongCat-Flash-Thinking outperforms in 4 benchmarks (GPQA, LiveCodeBench, MMLU-Pro, Tau2 Airline), while Nova 2 Pro is better at 4 benchmarks (AIME 2025, SWE-Bench Verified, Tau2 Retail, Tau2 Telecom).

Both models are evenly matched across the benchmarks.

Wed Oct 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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 Pro
Input- tokens
Output- tokens
Wed Oct 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Nova 2 Pro 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 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-Thinking is licensed under MIT, while Nova 2 Pro 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 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

LongCat-Flash-Thinking

Sep 22, 2025

1.1 years ago

Nova 2 Pro

Dec 2, 2025

10 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?

Judge for yourself.

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

LongCat-Flash-Thinking
✓ Preferred
Nova 2 Pro
Open in Playground

FAQ

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

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

LongCat-Flash-Thinking and Nova 2 Pro are closely matched on the LLM Stats Score at 28.5 and 30.6. LongCat-Flash-Thinking is made by Meituan and Nova 2 Pro is made by Amazon. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LongCat-Flash-Thinking compare to Nova 2 Pro 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 Pro scores Tau2 Telecom: 92.7%, AIME 2025: 92.3%, ScreenSpot: 88.1%, LongCodeBench: 84.0%, MMLU-Pro: 81.6%.

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

LongCat-Flash-Thinking supports 128K tokens and Nova 2 Pro 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 Pro?

Key differences include LLM Stats Score (28.5 vs 30.6), 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 Pro?

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

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