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K2 Horizon 32B vs LongCat-Flash-Thinking-2601

K2 Horizon 32B and LongCat-Flash-Thinking-2601 are closely matched at 30.2 and 34.6 on the LLM Stats Score.

Institute of Foundation Models · Meituan · Updated for 2026

Which is better?

K2 Horizon 32B and LongCat-Flash-Thinking-2601 are closely matched on the overall LLM Stats Score at 30.2 and 34.6.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose K2 Horizon 32B

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

Choose LongCat-Flash-Thinking-2601

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

At a glance

The differences that matter most.

K2 Horizon 32B
Institute of Foundation Models
LongCat-Flash-Thinking-2601
Meituan
Core performance indexes
LLM Stats Score
30.2
#147
34.6
#114
Reasoning
30.0
#147
34.8
#106
Coding
12.9
#167
18.8
#134
Agents
14.2
#120
8.4
#159
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
K2 Horizon 32B
LongCat-Flash-Thinking-2601
Math
22.2#152
30.3#83
Tool use
11.5#135
23.5#50
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for K2 Horizon 32B · 11 for LongCat-Flash-Thinking-2601

2 shared

K2 Horizon 32B outperforms in 1 benchmarks (GPQA), while LongCat-Flash-Thinking-2601 is better at 0 benchmarks.

K2 Horizon 32B has a slight edge in benchmark performance.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

528.0B diff

LongCat-Flash-Thinking-2601 has 528.0B more parameters than K2 Horizon 32B, making it 1650.0% larger.

Institute of Foundation Models
K2 Horizon 32B
32.0Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
32.0B
K2 Horizon 32B
560.0B
LongCat-Flash-Thinking-2601

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).

Institute of Foundation Models
K2 Horizon 32B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Fri Oct 30 2026 • llm-stats.com

License

Usage and distribution terms

K2 Horizon 32B is licensed under Apache 2.0, while LongCat-Flash-Thinking-2601 uses MIT.

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

K2 Horizon 32B

Apache 2.0

Open weights

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

K2 Horizon 32B was released on 2026-09-03, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

K2 Horizon 32B is 8 months newer than LongCat-Flash-Thinking-2601.

K2 Horizon 32B

Sep 3, 2026

1 months ago

7mo newer
LongCat-Flash-Thinking-2601

Jan 14, 2026

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?

Judge for yourself.

Run your own prompts against K2 Horizon 32B and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.

K2 Horizon 32B
✓ Preferred
LongCat-Flash-Thinking-2601
Open in Playground

FAQ

Common questions about K2 Horizon 32B vs LongCat-Flash-Thinking-2601.

Which is better, K2 Horizon 32B or LongCat-Flash-Thinking-2601?

K2 Horizon 32B and LongCat-Flash-Thinking-2601 are closely matched on the LLM Stats Score at 30.2 and 34.6. K2 Horizon 32B is made by Institute of Foundation Models and LongCat-Flash-Thinking-2601 is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does K2 Horizon 32B compare to LongCat-Flash-Thinking-2601 in benchmarks?

K2 Horizon 32B scores GPQA: 82.8%, OmniScience (non-hallucination rate): 69.7%, AA-LCR: 68.0%, Terminal-Bench 2.1: 62.6%, SciCode: 37.9%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

What are the context window sizes for K2 Horizon 32B and LongCat-Flash-Thinking-2601?

K2 Horizon 32B supports an unknown number of tokens and LongCat-Flash-Thinking-2601 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 K2 Horizon 32B and LongCat-Flash-Thinking-2601?

Key differences include LLM Stats Score (30.2 vs 34.6), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes K2 Horizon 32B and LongCat-Flash-Thinking-2601?

K2 Horizon 32B is developed by Institute of Foundation Models and LongCat-Flash-Thinking-2601 is developed by Meituan.

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