Model Comparison

DeepSeek R1 Distill Qwen 14B vs Kimi K2-Instruct-0905

Kimi K2-Instruct-0905 shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (AIME 2024), while Kimi K2-Instruct-0905 is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500).

Kimi K2-Instruct-0905 shows notably better performance in the majority of benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Moonshot AI
Kimi K2-Instruct-0905
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

985.2B diff

Kimi K2-Instruct-0905 has 985.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 6656.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Moonshot AI
Kimi K2-Instruct-0905
1000.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
1000.0B
Kimi K2-Instruct-0905

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Kimi K2-Instruct-0905 is 8 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.2 years ago

Kimi K2-Instruct-0905

Sep 5, 2025

7 months ago

7mo 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

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Key Takeaways

DeepSeek
Higher AIME 2024 score (80.0% vs 69.6%)
Moonshot AI
Higher GPQA score (75.1% vs 59.1%)
Higher LiveCodeBench score (53.7% vs 53.1%)
Higher MATH-500 score (97.4% vs 93.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Moonshot AI
Kimi K2-Instruct-0905

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Kimi K2-Instruct-0905

Kimi K2-Instruct-0905 shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Kimi K2-Instruct-0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.
DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Kimi K2-Instruct-0905 is developed by Moonshot AI.