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K2 Horizon 3.7B vs Particle-1

Particle-1 leads the LLM Stats Score 31.9 to 21.4.

Institute of Foundation Models · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 31.9 to 21.4, ranking #133 overall.

In the 1 individual benchmarks reported for both models, Particle-1 wins 1; 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 3.7B

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

Choose Particle-1

  • overall performance matters — it scores 31.9 and ranks #133 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
21.4
#215
31.9
#133
20.2
#217
31.2
#135
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.25 / M
Output price
— / M
$1.00 / M
Context window
—
1,048,576

Individual benchmarks

8 reported for K2 Horizon 3.7B · 3 for Particle-1

1 shared

K2 Horizon 3.7B outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).

Particle-1 significantly outperforms across most benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Particle-1 specifies input context (1,048,576 tokens). Only Particle-1 specifies output context (131,072 tokens).

Institute of Foundation Models
K2 Horizon 3.7B
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Particle-1 supports multimodal inputs, whereas K2 Horizon 3.7B does not.

Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

K2 Horizon 3.7B

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

K2 Horizon 3.7B is licensed under Apache 2.0, while Particle-1 uses a proprietary license.

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

K2 Horizon 3.7B

Apache 2.0

Open weights

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

K2 Horizon 3.7B was released on 2026-09-03, while Particle-1 was released on 2026-10-28.

Particle-1 is 2 months newer than K2 Horizon 3.7B.

K2 Horizon 3.7B

Sep 3, 2026

1 months ago

Particle-1

Oct 28, 2026

-1 days ago

1mo 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 K2 Horizon 3.7B and Particle-1 side-by-side, then vote on the output you prefer.

K2 Horizon 3.7B
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about K2 Horizon 3.7B vs Particle-1.

Which is better, K2 Horizon 3.7B or Particle-1?

Particle-1 leads the LLM Stats Score 31.9 to 21.4. K2 Horizon 3.7B is made by Institute of Foundation Models and Particle-1 is made by Particle AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does K2 Horizon 3.7B compare to Particle-1 in benchmarks?

K2 Horizon 3.7B scores HMMT Feb 26: 75.2%, GPQA: 68.9%, SWE-Bench Verified: 65.6%, BFCL-V4: 64.6%, Terminal-Bench 2.1: 39.7%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for K2 Horizon 3.7B and Particle-1?

K2 Horizon 3.7B supports an unknown number of tokens and Particle-1 supports 1.0M 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 3.7B and Particle-1?

Key differences include LLM Stats Score (21.4 vs 31.9), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes K2 Horizon 3.7B and Particle-1?

K2 Horizon 3.7B is developed by Institute of Foundation Models and Particle-1 is developed by Particle AI.