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K2 Horizon 7B vs LongCat-Flash-Thinking-2601

LongCat-Flash-Thinking-2601 leads the LLM Stats Score 34.6 to 25.7.

Institute of Foundation Models · Meituan · Updated for 2026

Which is better?

LongCat-Flash-Thinking-2601 leads the overall LLM Stats Score 34.6 to 25.7, ranking #114 overall.

In the 3 individual benchmarks reported for both models, K2 Horizon 7B wins 2; 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 K2 Horizon 7B

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose LongCat-Flash-Thinking-2601

  • overall performance matters — it scores 34.6 and ranks #114 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes

At a glance

The differences that matter most.

K2 Horizon 7B
Institute of Foundation Models
LongCat-Flash-Thinking-2601
Meituan
Core performance indexes
LLM Stats Score
25.7
#184
34.6
#114
Reasoning
25.6
#181
34.8
#106
Coding
8.4
#209
18.8
#134
Agents
12.0
#133
8.4
#159
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
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 7B
LongCat-Flash-Thinking-2601
Math
14.4#235
30.3#83
Tool use
8.4#164
23.5#50
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for K2 Horizon 7B · 11 for LongCat-Flash-Thinking-2601

3 shared

K2 Horizon 7B outperforms in 2 benchmarks (BrowseComp, SWE-Bench Verified), while LongCat-Flash-Thinking-2601 is better at 1 benchmark (Humanity's Last Exam).

K2 Horizon 7B shows notably better performance in the majority of benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

553.0B diff

LongCat-Flash-Thinking-2601 has 553.0B more parameters than K2 Horizon 7B, making it 7900.0% larger.

Institute of Foundation Models
K2 Horizon 7B
7.0Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
7.0B
K2 Horizon 7B
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 7B
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 7B 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 7B

Apache 2.0

Open weights

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

K2 Horizon 7B was released on 2026-09-03, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

K2 Horizon 7B is 8 months newer than LongCat-Flash-Thinking-2601.

K2 Horizon 7B

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 7B and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.

K2 Horizon 7B
✓ Preferred
LongCat-Flash-Thinking-2601
Open in Playground

FAQ

Common questions about K2 Horizon 7B vs LongCat-Flash-Thinking-2601.

Which is better, K2 Horizon 7B or LongCat-Flash-Thinking-2601?

LongCat-Flash-Thinking-2601 leads the LLM Stats Score 34.6 to 25.7. K2 Horizon 7B 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 7B compare to LongCat-Flash-Thinking-2601 in benchmarks?

K2 Horizon 7B scores HMMT Feb 26: 73.3%, SWE-Bench Verified: 70.6%, AA-LCR: 68.0%, BrowseComp: 59.0%, Terminal-Bench 2.1: 39.1%. 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 7B and LongCat-Flash-Thinking-2601?

K2 Horizon 7B 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 7B and LongCat-Flash-Thinking-2601?

Key differences include LLM Stats Score (25.7 vs 34.6), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes K2 Horizon 7B and LongCat-Flash-Thinking-2601?

K2 Horizon 7B is developed by Institute of Foundation Models and LongCat-Flash-Thinking-2601 is developed by Meituan.

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