Model Comparison

DeepSeek VL2 vs Kimi K2-Instruct-0905Which is better in 2026?

Comparing DeepSeek VL2 and Kimi K2-Instruct-0905 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 vs Kimi K2-Instruct-0905 — which is better?

DeepSeek VL2 (by DeepSeek) and Kimi K2-Instruct-0905 (by Moonshot AI) 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 DeepSeek VL2 if…

  • you are already invested in the DeepSeek ecosystem

Choose Kimi K2-Instruct-0905 if…

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

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Kimi K2-Instruct-0905don'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

973.0B diff

Kimi K2-Instruct-0905 has 973.0B more parameters than DeepSeek VL2, making it 3603.7% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Moonshot AI
Kimi K2-Instruct-0905
1.0Tparameters
27.0B
DeepSeek VL2
1000.0B
Kimi K2-Instruct-0905

Context Window

Maximum input and output token capacity

Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

Kimi K2-Instruct-0905

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Kimi K2-Instruct-0905 uses MIT.

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

DeepSeek VL2

deepseek

Open weights

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Kimi K2-Instruct-0905 is 9 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.5 years ago

Kimi K2-Instruct-0905

Sep 5, 2025

9 months ago

8mo 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→

Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Supports multimodal inputs
Moonshot AI

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Moonshot AI
Kimi K2-Instruct-0905

FAQ

Common questions about DeepSeek VL2 vs Kimi K2-Instruct-0905.

Which is better, DeepSeek VL2 or Kimi K2-Instruct-0905?

DeepSeek VL2 (DeepSeek) and Kimi K2-Instruct-0905 (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 compare to Kimi K2-Instruct-0905 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for DeepSeek VL2 and Kimi K2-Instruct-0905?

DeepSeek VL2 supports 129K tokens and Kimi K2-Instruct-0905 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 DeepSeek VL2 and Kimi K2-Instruct-0905?

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

Who makes DeepSeek VL2 and Kimi K2-Instruct-0905?

DeepSeek VL2 is developed by DeepSeek and Kimi K2-Instruct-0905 is developed by Moonshot AI.

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