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Kimi K2 Base vs Qwen3 VL 4B Instruct

Kimi K2 Base has a slight edge in benchmark performance.

Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Kimi K2 Base outperforms in 3 benchmarks (MMLU, MMLU-Pro, SuperGPQA), while Qwen3 VL 4B Instruct is better at 2 benchmarks (LiveCodeBench v6, SimpleQA). Kimi K2 Base has a slight edge in benchmark performance.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Kimi K2 Base

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks

Choose Qwen3 VL 4B Instruct

  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Benchmark wins
3 of 5
2 of 5
Input price
— / M
$0.10 / M
Output price
— / M
$0.60 / M
Context window
262,144
Released
Jul 2025
Sep 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Kimi K2 Base outperforms in 3 benchmarks (MMLU, MMLU-Pro, SuperGPQA), while Qwen3 VL 4B Instruct is better at 2 benchmarks (LiveCodeBench v6, SimpleQA).

Kimi K2 Base has a slight edge in benchmark performance.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

996.0B diff

Kimi K2 Base has 996.0B more parameters than Qwen3 VL 4B Instruct, making it 24900.0% larger.

Moonshot AI
Kimi K2 Base
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
1000.0B
Kimi K2 Base
4.0B
Qwen3 VL 4B Instruct

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).

Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas Kimi K2 Base does not.

Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2 Base

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while Qwen3 VL 4B Instruct uses Apache 2.0.

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

Kimi K2 Base

MIT

Open weights

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 2 months newer than Kimi K2 Base.

Kimi K2 Base

Jul 11, 2025

1.1 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

11 months ago

2mo 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?Start an Issue discussion

Judge for yourself.

Run your own prompts against Kimi K2 Base and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Kimi K2 Base
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground

FAQ

Common questions about Kimi K2 Base vs Qwen3 VL 4B Instruct.

Which is better, Kimi K2 Base or Qwen3 VL 4B Instruct?

Kimi K2 Base has a slight edge in benchmark performance. Kimi K2 Base is made by Moonshot AI and Qwen3 VL 4B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K2 Base compare to Qwen3 VL 4B Instruct in benchmarks?

Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

What are the context window sizes for Kimi K2 Base and Qwen3 VL 4B Instruct?

Kimi K2 Base supports an unknown number of tokens and Qwen3 VL 4B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2 Base and Qwen3 VL 4B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Base and Qwen3 VL 4B Instruct?

Kimi K2 Base is developed by Moonshot AI and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.