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Kimi K2 0905 vs Qwen2-VL-72B-Instruct

Kimi K2 0905 leads the LLM Stats Score 21.8 to 14.5.

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

Which is better?

Kimi K2 0905 leads the overall LLM Stats Score 21.8 to 14.5, ranking #173 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Kimi K2 0905

  • overall performance matters — it scores 21.8 and ranks #173 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2025

Choose Qwen2-VL-72B-Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
21.8
#173
14.5
#224
22.2
#162
11.9
#238
Cost, coverage & limits
Benchmark wins
Input price
$0.60 / M
— / M
Output price
$2.50 / M
— / M
Context window
262,144

Individual benchmarks

6 reported for Kimi K2 0905 · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Kimi K2 0905 and Qwen2-VL-72B-Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

926.6B diff

Kimi K2 0905 has 926.6B more parameters than Qwen2-VL-72B-Instruct, making it 1262.4% larger.

Moonshot AI
Kimi K2 0905
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
1000.0B
Kimi K2 0905
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only Kimi K2 0905 specifies input context (262,144 tokens). Only Kimi K2 0905 specifies output context (262,144 tokens).

Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Kimi K2 0905 does not.

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

Kimi K2 0905

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Kimi K2 0905

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Kimi K2 0905 is 12 months newer than Qwen2-VL-72B-Instruct.

Kimi K2 0905

Sep 5, 2025

12 months ago

1.0yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Kimi K2 0905's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Kimi K2 0905's cutoff date.

Kimi K2 0905

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Kimi K2 0905 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Kimi K2 0905
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Kimi K2 0905 vs Qwen2-VL-72B-Instruct.

Which is better, Kimi K2 0905 or Qwen2-VL-72B-Instruct?

Kimi K2 0905 leads the LLM Stats Score 21.8 to 14.5. Kimi K2 0905 is made by Moonshot AI and Qwen2-VL-72B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K2 0905 compare to Qwen2-VL-72B-Instruct in benchmarks?

Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Kimi K2 0905 and Qwen2-VL-72B-Instruct?

Kimi K2 0905 supports 262K tokens and Qwen2-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 0905 and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (21.8 vs 14.5), multimodal support (no vs yes), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 0905 and Qwen2-VL-72B-Instruct?

Kimi K2 0905 is developed by Moonshot AI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.