Model Comparison

Kimi K2 Base vs Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Kimi K2 Base outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 6 benchmarks (CSimpleQA, LiveCodeBench v6, MMLU, MMLU-Pro, SimpleQA, SuperGPQA).

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

764.0B diff

Kimi K2 Base has 764.0B more parameters than Qwen3 VL 235B A22B Instruct, making it 323.7% larger.

Kimi K2 Base

1.0Tparameters

Qwen3 VL 235B A22B Instruct

236.0Bparameters

1000.0B

Kimi K2 Base

236.0B

Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).

Kimi K2 Base

Input- tokens

Output- tokens

Qwen3 VL 235B A22B Instruct

Input262,144 tokens

Output262,144 tokens

Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas Kimi K2 Base does not.

Qwen3 VL 235B A22B 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 235B A22B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while Qwen3 VL 235B A22B 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 235B A22B 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 235B A22B Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 2 months newer than Kimi K2 Base.

Kimi K2 Base

Jul 11, 2025

10 months ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

7 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

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Key Takeaways

Kimi K2 Base

View details

Moonshot AI

No standout differentiators in the data we have for this pair.

Qwen3 VL 235B A22B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Higher CSimpleQA score (83.4% vs 77.6%)

Higher LiveCodeBench v6 score (54.3% vs 26.3%)

Higher MMLU score (88.8% vs 87.8%)

Higher MMLU-Pro score (81.8% vs 69.2%)

Higher SimpleQA score (51.9% vs 35.3%)

Higher SuperGPQA score (60.4% vs 44.7%)

Detailed Comparison

AI Model Comparison Table
Feature	Kimi K2 Base	Qwen3 VL 235B A22B Instruct

FAQ

Common questions about Kimi K2 Base vs Qwen3 VL 235B A22B Instruct.

Which is better, Kimi K2 Base or Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks. Kimi K2 Base is made by Moonshot AI and Qwen3 VL 235B A22B 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 235B A22B 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 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

What are the context window sizes for Kimi K2 Base and Qwen3 VL 235B A22B Instruct?

Kimi K2 Base supports an unknown number of tokens and Qwen3 VL 235B A22B 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 235B A22B 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 235B A22B Instruct?

Kimi K2 Base is developed by Moonshot AI and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.