Model Comparison

DeepSeek-V3.2-Exp vs Kimi-k1.5Which is better in 2026?

Comparing DeepSeek-V3.2-Exp and Kimi-k1.5 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V3.2-Exp vs Kimi-k1.5 — which is better?

DeepSeek-V3.2-Exp (by DeepSeek) and Kimi-k1.5 (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-V3.2-Exp if…

  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Choose Kimi-k1.5 if…

  • you are already invested in the Moonshot AI ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2-Exp and Kimi-k1.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi-k1.5 supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Kimi-k1.5 uses a proprietary license.

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

DeepSeek-V3.2-Exp

MIT

Open weights

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Kimi-k1.5 was released on 2025-01-20.

DeepSeek-V3.2-Exp is 8 months newer than Kimi-k1.5.

DeepSeek-V3.2-Exp

Sep 29, 2025

9 months ago

8mo newer
Kimi-k1.5

Jan 20, 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

DeepSeek
Larger context window (163,840 tokens)
Has open weights
Moonshot AI
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Kimi-k1.5 side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Kimi-k1.5
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Moonshot AI
Kimi-k1.5

FAQ

Common questions about DeepSeek-V3.2-Exp vs Kimi-k1.5.

Which is better, DeepSeek-V3.2-Exp or Kimi-k1.5?

DeepSeek-V3.2-Exp (DeepSeek) and Kimi-k1.5 (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-V3.2-Exp compare to Kimi-k1.5 in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the context window sizes for DeepSeek-V3.2-Exp and Kimi-k1.5?

DeepSeek-V3.2-Exp supports 164K tokens and Kimi-k1.5 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-V3.2-Exp and Kimi-k1.5?

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

Who makes DeepSeek-V3.2-Exp and Kimi-k1.5?

DeepSeek-V3.2-Exp is developed by DeepSeek and Kimi-k1.5 is developed by Moonshot AI.

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