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DeepSeek R1 Distill Llama 8B vs Kimi-k1.5

Kimi-k1.5 leads the LLM Stats Score 17.2 to 7.0.

DeepSeek · Moonshot AI · Updated for 2026

Which is better?

Kimi-k1.5 leads the overall LLM Stats Score 17.2 to 7.0, ranking #226 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose DeepSeek R1 Distill Llama 8B

  • you need open weights you can self-host or fine-tune

Choose Kimi-k1.5

  • overall performance matters — it scores 17.2 and ranks #226 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

Core performance indexes
7.0
#298
17.2
#226
7.3
#290
16.4
#223
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
Kimi-k1.5
10.8#250
20.2#162
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 9 for Kimi-k1.5

2 shared

DeepSeek R1 Distill Llama 8B outperforms in 1 benchmarks (AIME 2024), while Kimi-k1.5 is better at 1 benchmark (MATH-500).

Both models are evenly matched across the benchmarks.

Sat Oct 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Kimi-k1.5 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

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

DeepSeek R1 Distill Llama 8B

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, 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 R1 Distill Llama 8B

MIT

Open weights

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

Both models were released on 2025-01-20.

They likely represent similar generations of model development.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.7 years ago

Kimi-k1.5

Jan 20, 2025

1.7 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?

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 8B and Kimi-k1.5 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Kimi-k1.5.

Which is better, DeepSeek R1 Distill Llama 8B or Kimi-k1.5?

Kimi-k1.5 leads the LLM Stats Score 17.2 to 7.0. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Kimi-k1.5 is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Llama 8B compare to Kimi-k1.5 in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the main differences between DeepSeek R1 Distill Llama 8B and Kimi-k1.5?

Key differences include LLM Stats Score (7.0 vs 17.2), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Kimi-k1.5?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Kimi-k1.5 is developed by Moonshot AI.