Model Comparison

DeepSeek-V3 0324 vs Kimi-k1.5Which is better in 2026?

Kimi-k1.5 significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3 0324 vs Kimi-k1.5 — which is better?

DeepSeek-V3 0324 (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.

DeepSeek-V3 0324 outperforms in 0 benchmarks, while Kimi-k1.5 is better at 2 benchmarks (AIME 2024, MATH-500). Kimi-k1.5 significantly outperforms across most benchmarks.

Choose DeepSeek-V3 0324 if…

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

Choose Kimi-k1.5 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 0324 outperforms in 0 benchmarks, while Kimi-k1.5 is better at 2 benchmarks (AIME 2024, MATH-500).

Kimi-k1.5 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi-k1.5 supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

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

DeepSeek-V3 0324

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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 0324

MIT + Model License (Commercial use allowed)

Open weights

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Kimi-k1.5 was released on 2025-01-20.

DeepSeek-V3 0324 is 2 months newer than Kimi-k1.5.

DeepSeek-V3 0324

Mar 25, 2025

1.3 years ago

2mo 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
Higher AIME 2024 score (77.5% vs 59.4%)
Higher MATH-500 score (96.2% vs 94.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and Kimi-k1.5 side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Kimi-k1.5
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Moonshot AI
Kimi-k1.5

FAQ

Common questions about DeepSeek-V3 0324 vs Kimi-k1.5.

Which is better, DeepSeek-V3 0324 or Kimi-k1.5?

Kimi-k1.5 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and Kimi-k1.5 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 0324 compare to Kimi-k1.5 in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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 0324 and Kimi-k1.5?

DeepSeek-V3 0324 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 0324 and Kimi-k1.5?

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

Who makes DeepSeek-V3 0324 and Kimi-k1.5?

DeepSeek-V3 0324 is developed by DeepSeek and Kimi-k1.5 is developed by Moonshot AI.

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