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DeepSeek VL2 vs Kimi K2.8 Preview

Comparing DeepSeek VL2 and Kimi K2.8 Preview across benchmarks, pricing, and capabilities.

DeepSeek · Moonshot AI · Updated for 2026

Which is better?

DeepSeek VL2 and Kimi K2.8 Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Kimi K2.8 Preview also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek VL2

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

Choose Kimi K2.8 Preview

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek VL2
DeepSeek
Kimi K2.8 Preview
Moonshot AI
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
129,280
1,048,576

Individual benchmarks

14 reported for DeepSeek VL2 · 0 for Kimi K2.8 Preview

No common benchmarks found

DeepSeek VL2 and Kimi K2.8 Previewdon'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

Context Window

Maximum input and output token capacity

Kimi K2.8 Preview accepts 1,048,576 input tokens compared to DeepSeek VL2's 129,280 tokens. Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 and Kimi K2.8 Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2

Text
Images
Audio
Video

Kimi K2.8 Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Kimi K2.8 Preview uses a proprietary license.

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

DeepSeek VL2

deepseek

Open weights

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Kimi K2.8 Preview was released on 2026-09-11.

Kimi K2.8 Preview is 21 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.8 years ago

Kimi K2.8 Preview

Sep 11, 2026

4 days ago

1.7yr 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

Provider Availability

DeepSeek VL2 is available from Replicate. Kimi K2.8 Preview is available from Moonshot AI.

DeepSeek VL2

replicate logo
Replicate

Kimi K2.8 Preview

moonshot logo
Unknown Organization
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Kimi K2.8 Preview side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Kimi K2.8 Preview
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs Kimi K2.8 Preview.

Which is better, DeepSeek VL2 or Kimi K2.8 Preview?

DeepSeek VL2 (DeepSeek) and Kimi K2.8 Preview (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 K2.8 Preview in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.

What are the context window sizes for DeepSeek VL2 and Kimi K2.8 Preview?

DeepSeek VL2 supports 129K tokens and Kimi K2.8 Preview supports 1.0M 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 K2.8 Preview?

Key differences include context window (129K vs 1.0M), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Kimi K2.8 Preview?

DeepSeek VL2 is developed by DeepSeek and Kimi K2.8 Preview is developed by Moonshot AI.

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