Model Comparison

DeepSeek VL2 vs Kimi K3Which is better in 2026?

Comparing DeepSeek VL2 and Kimi K3 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 vs Kimi K3 — which is better?

DeepSeek VL2 (by DeepSeek) and Kimi K3 (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.

Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek VL2 if…

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

Choose Kimi K3 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Kimi K3don'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

2773.0B diff

Kimi K3 has 2773.0B more parameters than DeepSeek VL2, making it 10270.4% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Moonshot AI
Kimi K3
2.8Tparameters
27.0B
DeepSeek VL2
2800.0B
Kimi K3

Context Window

Maximum input and output token capacity

Kimi K3 accepts 1,048,576 input tokens compared to DeepSeek VL2's 129,280 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while DeepSeek VL2 is limited to 129,280 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Moonshot AI
Kimi K3
Input1,048,576 tokens
Output1,048,576 tokens
Sun Jul 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Kimi K3 support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

Kimi K3

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Kimi K3 was released on 2026-07-16.

Kimi K3 is 19 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.6 years ago

Kimi K3

Jul 16, 2026

3 days ago

1.6yr 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 K3 is available from Moonshot AI.

DeepSeek VL2

replicate logo
Replicate

Kimi K3

moonshot logo
Unknown Organization
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

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

Larger context window (1,048,576 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Kimi K3 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Kimi K3
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Moonshot AI
Kimi K3

FAQ

Common questions about DeepSeek VL2 vs Kimi K3.

Which is better, DeepSeek VL2 or Kimi K3?

DeepSeek VL2 (DeepSeek) and Kimi K3 (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 K3 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Kimi K3 scores MathVision: 97.8%, DeepSearchQA: 95.0%, GPQA: 93.5%, CharXiv-R: 91.3%, BrowseComp: 91.2%.

What are the context window sizes for DeepSeek VL2 and Kimi K3?

DeepSeek VL2 supports 129K tokens and Kimi K3 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 K3?

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

Who makes DeepSeek VL2 and Kimi K3?

DeepSeek VL2 is developed by DeepSeek and Kimi K3 is developed by Moonshot AI.