Model Comparison

DeepSeek-V2.5 vs Kimi-k1.5Which is better in 2026?

Kimi-k1.5 significantly outperforms across most benchmarks.

Verdict: DeepSeek-V2.5 vs Kimi-k1.5 — which is better?

DeepSeek-V2.5 (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-V2.5 outperforms in 0 benchmarks, while Kimi-k1.5 is better at 1 benchmark (MMLU). Kimi-k1.5 significantly outperforms across most benchmarks.

Choose DeepSeek-V2.5 if…

  • 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 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V2.5 outperforms in 0 benchmarks, while Kimi-k1.5 is better at 1 benchmark (MMLU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Tue Aug 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Tue Aug 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi-k1.5 supports multimodal inputs, whereas DeepSeek-V2.5 does not.

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

DeepSeek-V2.5

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, 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-V2.5

deepseek

Open weights

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Kimi-k1.5 was released on 2025-01-20.

Kimi-k1.5 is 9 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.2 years ago

Kimi-k1.5

Jan 20, 2025

1.5 years 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

Larger context window (8,192 tokens)
Has open weights
Supports multimodal inputs
Higher MMLU score (87.4% vs 80.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V2.5 and Kimi-k1.5 side-by-side, then vote on the output you prefer.

DeepSeek-V2.5
✓ Preferred
Kimi-k1.5
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Moonshot AI
Kimi-k1.5

FAQ

Common questions about DeepSeek-V2.5 vs Kimi-k1.5.

Which is better, DeepSeek-V2.5 or Kimi-k1.5?

Kimi-k1.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 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-V2.5 compare to Kimi-k1.5 in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. 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-V2.5 and Kimi-k1.5?

DeepSeek-V2.5 supports 8K 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-V2.5 and Kimi-k1.5?

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

Who makes DeepSeek-V2.5 and Kimi-k1.5?

DeepSeek-V2.5 is developed by DeepSeek and Kimi-k1.5 is developed by Moonshot AI.