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LongCat-Flash-Thinking-2601 vs Nova 2 Pro

LongCat-Flash-Thinking-2601 leads the LLM Stats Score 35.7 to 31.0.

Meituan · Amazon · Updated for 2026

Which is better?

LongCat-Flash-Thinking-2601 leads the overall LLM Stats Score 35.7 to 31.0, ranking #78 overall.

In the 7 individual benchmarks reported for both models, LongCat-Flash-Thinking-2601 wins 5; this is a narrower head-to-head signal than the composite indexes.

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

Choose LongCat-Flash-Thinking-2601

  • overall performance matters — it scores 35.7 and ranks #78 on LLM Stats
  • you value its reported benchmark strengths — it wins 5 of 7 exact shared results
  • you want the most recent training data — it shipped Jan 2026
  • you need open weights you can self-host or fine-tune

Choose Nova 2 Pro

  • you are already invested in the Amazon ecosystem

At a glance

The differences that matter most.

LongCat-Flash-Thinking-2601
Meituan
Nova 2 Pro
Amazon
Core performance indexes
LLM Stats Score
35.7
#78
31.0
#107
Reasoning
35.9
#73
31.0
#106
Coding
19.2
#101
19.7
#97
Agents
9.9
#111
12.4
#95
Cost, coverage & limits
Benchmark wins
5 of 7
2 of 7
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-2601
Nova 2 Pro
Math
30.8#70
26.1#99
Tool use
26.2#28
16.9#77
Writing
30.1#2
23.2#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for LongCat-Flash-Thinking-2601 · 18 for Nova 2 Pro

7 shared

LongCat-Flash-Thinking-2601 outperforms in 5 benchmarks (AIME 2025, LiveCodeBench, Tau2 Airline, Tau2 Retail, Tau2 Telecom), while Nova 2 Pro is better at 1 benchmark (GPQA).

LongCat-Flash-Thinking-2601 shows notably better performance in the majority of 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-2601 specifies input context (128,000 tokens). Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Thinking-2601
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-2601 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-2601

Text
Images
Audio
Video

Nova 2 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-Thinking-2601 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-2601

MIT

Open weights

Nova 2 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

LongCat-Flash-Thinking-2601 was released on 2026-01-14, while Nova 2 Pro was released on 2025-12-02.

LongCat-Flash-Thinking-2601 is 1 month newer than Nova 2 Pro.

LongCat-Flash-Thinking-2601

Jan 14, 2026

7 months ago

1mo newer
Nova 2 Pro

Dec 2, 2025

9 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→

Judge for yourself.

Run your own prompts against LongCat-Flash-Thinking-2601 and Nova 2 Pro side-by-side, then vote on the output you prefer.

LongCat-Flash-Thinking-2601
✓ Preferred
Nova 2 Pro
Open in Playground

FAQ

Common questions about LongCat-Flash-Thinking-2601 vs Nova 2 Pro.

Which is better, LongCat-Flash-Thinking-2601 or Nova 2 Pro?

LongCat-Flash-Thinking-2601 leads the LLM Stats Score 35.7 to 31.0. LongCat-Flash-Thinking-2601 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-2601 compare to Nova 2 Pro in benchmarks?

LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%. 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-2601 and Nova 2 Pro?

LongCat-Flash-Thinking-2601 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-2601 and Nova 2 Pro?

Key differences include LLM Stats Score (35.7 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-2601 and Nova 2 Pro?

LongCat-Flash-Thinking-2601 is developed by Meituan and Nova 2 Pro is developed by Amazon.

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