Model Comparison

DeepSeek R1 Distill Llama 8B vs Qwen2 7B InstructWhich is better in 2026?

DeepSeek R1 Distill Llama 8B significantly outperforms across most benchmarks.

Verdict: DeepSeek R1 Distill Llama 8B vs Qwen2 7B Instruct — which is better?

DeepSeek R1 Distill Llama 8B (by DeepSeek) and Qwen2 7B Instruct (by Alibaba Cloud / Qwen Team) 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 R1 Distill Llama 8B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Qwen2 7B Instruct is better at 0 benchmarks. DeepSeek R1 Distill Llama 8B significantly outperforms across most benchmarks.

Choose DeepSeek R1 Distill Llama 8B if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

Choose Qwen2 7B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Qwen2 7B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Llama 8B significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

410.0M diff

DeepSeek R1 Distill Llama 8B has 0.4B more parameters than Qwen2 7B Instruct, making it 5.4% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
7.6Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
7.6B
Qwen2 7B Instruct

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Qwen2 7B Instruct uses Apache 2.0.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Qwen2 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Qwen2 7B Instruct was released on 2024-07-23.

DeepSeek R1 Distill Llama 8B is 6 months newer than Qwen2 7B Instruct.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.4 years ago

6mo newer
Qwen2 7B Instruct

Jul 23, 2024

1.9 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?Start an Issue discussion

Key Takeaways

Higher GPQA score (49.0% vs 25.3%)
Higher LiveCodeBench score (39.6% vs 26.6%)
Alibaba Cloud / Qwen Team

Qwen2 7B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Qwen2 7B Instruct.

Which is better, DeepSeek R1 Distill Llama 8B or Qwen2 7B Instruct?

DeepSeek R1 Distill Llama 8B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Qwen2 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Llama 8B compare to Qwen2 7B Instruct in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Qwen2 7B Instruct scores MT-Bench: 84.1%, GSM8k: 82.3%, HumanEval: 79.9%, C-Eval: 77.2%, AlignBench: 72.1%.

What are the main differences between DeepSeek R1 Distill Llama 8B and Qwen2 7B Instruct?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Qwen2 7B Instruct?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Qwen2 7B Instruct is developed by Alibaba Cloud / Qwen Team.