Kimi K2-Instruct-0905 vs Qwen3 VL 30B A3B Instruct
Kimi K2-Instruct-0905 leads the LLM Stats Score 21.7 to 16.5.
Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Kimi K2-Instruct-0905 leads the overall LLM Stats Score 21.7 to 16.5, ranking #176 overall.
In the 8 individual benchmarks reported for both models, Kimi K2-Instruct-0905 wins 7; 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 Kimi K2-Instruct-0905
- overall performance matters — it scores 21.7 and ranks #176 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 7 of 8 exact shared results
Choose Qwen3 VL 30B A3B Instruct
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
29 reported for Kimi K2-Instruct-0905 · 50 for Qwen3 VL 30B A3B Instruct
Kimi K2-Instruct-0905 outperforms in 7 benchmarks (GPQA, IFEval, MMLU, MMLU-Pro, MMLU-Redux, SimpleQA, SuperGPQA), while Qwen3 VL 30B A3B Instruct is better at 1 benchmark (AIME 2025).
Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Kimi K2-Instruct-0905 has 969.0B more parameters than Qwen3 VL 30B A3B Instruct, making it 3125.8% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 30B A3B Instruct specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Instruct specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.
Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2-Instruct-0905
Qwen3 VL 30B A3B Instruct
License
Usage and distribution terms
Kimi K2-Instruct-0905 is licensed under MIT, while Qwen3 VL 30B A3B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Kimi K2-Instruct-0905 was released on 2025-09-05, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.
Qwen3 VL 30B A3B Instruct is 1 month newer than Kimi K2-Instruct-0905.
Sep 5, 2025
1.0 years ago
Sep 22, 2025
11 months ago
2w newerKnowledge 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 Kimi K2-Instruct-0905 and Qwen3 VL 30B A3B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2-Instruct-0905 vs Qwen3 VL 30B A3B Instruct.