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Kimi-k1.5 vs Qwen3 14B

Kimi-k1.5 and Qwen3 14B are closely matched at 17.3 and 18.2 on the LLM Stats Score.

Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Kimi-k1.5 and Qwen3 14B are closely matched on the overall LLM Stats Score at 17.3 and 18.2.

The models split the 4 individual benchmarks reported for both models evenly.

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

Choose Kimi-k1.5

  • you are already invested in the Moonshot AI ecosystem

Choose Qwen3 14B

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

At a glance

The differences that matter most.

Core performance indexes
17.3
#216
18.2
#212
16.5
#213
19.6
#196
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
— / M
$0.12 / M
Output price
— / M
$0.24 / M
Context window
40,960

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi-k1.5
Qwen3 14B
20.2#159
21.4#145
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi-k1.5 · 17 for Qwen3 14B

4 shared

Kimi-k1.5 outperforms in 2 benchmarks (C-Eval, IFEval), while Qwen3 14B is better at 2 benchmarks (AIME 2024, MATH-500).

Both models are evenly matched across the benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Qwen3 14B specifies input context (40,960 tokens). Only Qwen3 14B specifies output context (40,960 tokens).

Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 14B
Input40,960 tokens
Output40,960 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi-k1.5 supports multimodal inputs, whereas Qwen3 14B does not.

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

Kimi-k1.5

Text
Images
Audio
Video

Qwen3 14B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi-k1.5 is licensed under a proprietary license, while Qwen3 14B uses Apache 2.0.

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

Kimi-k1.5

Proprietary

Closed source

Qwen3 14B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi-k1.5 was released on 2025-01-20, while Qwen3 14B was released on 2025-04-28.

Qwen3 14B is 3 months newer than Kimi-k1.5.

Kimi-k1.5

Jan 20, 2025

1.6 years ago

Qwen3 14B

Apr 28, 2025

1.4 years ago

3mo 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

Judge for yourself.

Run your own prompts against Kimi-k1.5 and Qwen3 14B side-by-side, then vote on the output you prefer.

Kimi-k1.5
✓ Preferred
Qwen3 14B
Open in Playground

FAQ

Common questions about Kimi-k1.5 vs Qwen3 14B.

Which is better, Kimi-k1.5 or Qwen3 14B?

Kimi-k1.5 and Qwen3 14B are closely matched on the LLM Stats Score at 17.3 and 18.2. Kimi-k1.5 is made by Moonshot AI and Qwen3 14B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi-k1.5 compare to Qwen3 14B in benchmarks?

Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%. Qwen3 14B scores MATH-500: 96.8%, Arena Hard: 91.7%, RULER: 90.1%, AutoLogi: 89.2%, MMLU-Redux: 88.6%.

What are the context window sizes for Kimi-k1.5 and Qwen3 14B?

Kimi-k1.5 supports an unknown number of tokens and Qwen3 14B supports 41K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi-k1.5 and Qwen3 14B?

Key differences include LLM Stats Score (17.3 vs 18.2), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi-k1.5 and Qwen3 14B?

Kimi-k1.5 is developed by Moonshot AI and Qwen3 14B is developed by Alibaba Cloud / Qwen Team.