Model Comparison

DeepSeek-V3 0324 vs DeepSeek R1 Distill Llama 8BWhich is better in 2026?

DeepSeek-V3 0324 shows notably better performance in the majority of benchmarks.

Verdict: DeepSeek-V3 0324 vs DeepSeek R1 Distill Llama 8B — which is better?

DeepSeek-V3 0324 (by DeepSeek) and DeepSeek R1 Distill Llama 8B (by DeepSeek) 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-V3 0324 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MATH-500), while DeepSeek R1 Distill Llama 8B is better at 1 benchmark (AIME 2024). DeepSeek-V3 0324 shows notably better performance in the majority of benchmarks.

Choose DeepSeek-V3 0324 if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025

Choose DeepSeek R1 Distill Llama 8B if…

  • you are already invested in the DeepSeek ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3 0324 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MATH-500), while DeepSeek R1 Distill Llama 8B is better at 1 benchmark (AIME 2024).

DeepSeek-V3 0324 shows notably better performance in the majority of benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

663.0B diff

DeepSeek-V3 0324 has 663.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 8256.2% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
671.0B
DeepSeek-V3 0324
8.0B
DeepSeek R1 Distill Llama 8B

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Wed Jun 24 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while DeepSeek R1 Distill Llama 8B uses MIT.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while DeepSeek R1 Distill Llama 8B was released on 2025-01-20.

DeepSeek-V3 0324 is 2 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

2mo newer
DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.4 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

DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (68.4% vs 49.0%)
Higher LiveCodeBench score (49.2% vs 39.6%)
Higher MATH-500 score (94.0% vs 89.1%)
DeepSeek
Higher AIME 2024 score (80.0% vs 59.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
DeepSeek
DeepSeek R1 Distill Llama 8B

FAQ

Common questions about DeepSeek-V3 0324 vs DeepSeek R1 Distill Llama 8B.

Which is better, DeepSeek-V3 0324 or DeepSeek R1 Distill Llama 8B?

DeepSeek-V3 0324 shows notably better performance in the majority of benchmarks. DeepSeek-V3 0324 is made by DeepSeek and DeepSeek R1 Distill Llama 8B is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 0324 compare to DeepSeek R1 Distill Llama 8B in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%.

What are the context window sizes for DeepSeek-V3 0324 and DeepSeek R1 Distill Llama 8B?

DeepSeek-V3 0324 supports 164K tokens and DeepSeek R1 Distill Llama 8B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 0324 and DeepSeek R1 Distill Llama 8B?

Key differences include licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

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