Model Comparison

DeepSeek R1 Distill Qwen 7B vs Kimi K2 Instruct

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

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (AIME 2024), while Kimi K2 Instruct is better at 2 benchmarks (GPQA, MATH-500).

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

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

992.4B diff

Kimi K2 Instruct has 992.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 13023.4% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Moonshot AI
Kimi K2 Instruct
1.0Tparameters
7.6B
DeepSeek R1 Distill Qwen 7B
1000.0B
Kimi K2 Instruct

Context Window

Maximum input and output token capacity

Only Kimi K2 Instruct specifies input context (200,000 tokens). Only Kimi K2 Instruct specifies output context (200,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Wed May 13 2026 • llm-stats.com

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 7B

MIT

Open weights

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Kimi K2 Instruct was released on 2025-07-11.

Kimi K2 Instruct is 6 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.3 years ago

Kimi K2 Instruct

Jul 11, 2025

10 months ago

5mo 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 (83.3% vs 69.6%)
Moonshot AI
Larger context window (200,000 tokens)
Higher GPQA score (75.1% vs 49.1%)
Higher MATH-500 score (97.4% vs 92.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
Moonshot AI
Kimi K2 Instruct

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Kimi K2 Instruct.

Which is better, DeepSeek R1 Distill Qwen 7B or Kimi K2 Instruct?

Kimi K2 Instruct shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and Kimi K2 Instruct is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 7B compare to Kimi K2 Instruct in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and Kimi K2 Instruct?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and Kimi K2 Instruct supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes DeepSeek R1 Distill Qwen 7B and Kimi K2 Instruct?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Kimi K2 Instruct is developed by Moonshot AI.