Model Comparison

Kimi K2 Instruct vs Qwen2.5 VL 72B InstructWhich is better in 2026?

Comparing Kimi K2 Instruct and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.

Verdict: Kimi K2 Instruct vs Qwen2.5 VL 72B Instruct — which is better?

Kimi K2 Instruct (by Moonshot AI) and Qwen2.5 VL 72B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Kimi K2 Instruct if…

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

Choose Qwen2.5 VL 72B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Kimi K2 Instruct and Qwen2.5 VL 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

928.0B diff

Kimi K2 Instruct has 928.0B more parameters than Qwen2.5 VL 72B Instruct, making it 1288.9% larger.

Moonshot AI
Kimi K2 Instruct
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
1000.0B
Kimi K2 Instruct
72.0B
Qwen2.5 VL 72B Instruct

Context Window

Maximum input and output token capacity

Only Kimi K2 Instruct specifies input context (200,000 tokens). Only Kimi K2 Instruct specifies output context (200,000 tokens).

Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas Kimi K2 Instruct does not.

Qwen2.5 VL 72B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2 Instruct

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Instruct is licensed under MIT, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

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

Kimi K2 Instruct

MIT

Open weights

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Kimi K2 Instruct was released on 2025-07-11, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Kimi K2 Instruct is 6 months newer than Qwen2.5 VL 72B Instruct.

Kimi K2 Instruct

Jul 11, 2025

1.0 years ago

5mo newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.5 years ago

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→

Key Takeaways

Moonshot AI
Larger context window (200,000 tokens)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Kimi K2 Instruct and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

Kimi K2 Instruct
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground
AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct

FAQ

Common questions about Kimi K2 Instruct vs Qwen2.5 VL 72B Instruct.

Which is better, Kimi K2 Instruct or Qwen2.5 VL 72B Instruct?

Kimi K2 Instruct (Moonshot AI) and Qwen2.5 VL 72B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Kimi K2 Instruct compare to Qwen2.5 VL 72B Instruct in benchmarks?

Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for Kimi K2 Instruct and Qwen2.5 VL 72B Instruct?

Kimi K2 Instruct supports 200K tokens and Qwen2.5 VL 72B Instruct supports an unknown number of 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 Instruct and Qwen2.5 VL 72B Instruct?

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

Who makes Kimi K2 Instruct and Qwen2.5 VL 72B Instruct?

Kimi K2 Instruct is developed by Moonshot AI and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.

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