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LongCat-Flash-Thinking vs Nova 2 Pro

LongCat-Flash-Thinking and Nova 2 Pro are closely matched at 28.8 and 31.0 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 28.8 and 31.0.

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
28.8
#124
31.0
#107
Reasoning
28.9
#116
31.0
#106
Coding
14.3
#127
19.7
#97
Agents
12.9
#91
12.4
#95
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
28.3#89
26.1#99
Tool use
16.6#80
16.9#77
Writing
18.2#26
23.2#8
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.

Fri Sep 04 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
Fri Sep 04 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

11 months ago

Nova 2 Pro

Dec 2, 2025

9 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→

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 28.8 and 31.0. 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 (28.8 vs 31.0), 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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