K2 Horizon 0.9B vs Qwen3 VL 4B Instruct
Qwen3 VL 4B Instruct leads the LLM Stats Score 10.1 to 0.5.
Institute of Foundation Models · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 4B Instruct leads the overall LLM Stats Score 10.1 to 0.5, ranking #297 overall.
In the 2 individual benchmarks reported for both models, Qwen3 VL 4B Instruct 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 0.9B
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3 VL 4B Instruct
- overall performance matters — it scores 10.1 and ranks #297 on LLM Stats
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for K2 Horizon 0.9B · 45 for Qwen3 VL 4B Instruct
K2 Horizon 0.9B outperforms in 0 benchmarks, while Qwen3 VL 4B Instruct is better at 2 benchmarks (AIME 2025, LiveCodeBench v6).
Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3 VL 4B Instruct has 3.1B more parameters than K2 Horizon 0.9B, making it 344.4% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 4B Instruct supports multimodal inputs, whereas K2 Horizon 0.9B does not.
Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
K2 Horizon 0.9B
Qwen3 VL 4B Instruct
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
K2 Horizon 0.9B was released on 2026-09-03, while Qwen3 VL 4B Instruct was released on 2025-09-22.
K2 Horizon 0.9B is 12 months newer than Qwen3 VL 4B Instruct.
Sep 3, 2026
1 months ago
11mo newerSep 22, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against K2 Horizon 0.9B and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about K2 Horizon 0.9B vs Qwen3 VL 4B Instruct.