Model Comparison

DeepSeek R1 Distill Qwen 14B vs DeepSeek-V3 0324Which is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: DeepSeek R1 Distill Qwen 14B vs DeepSeek-V3 0324 — which is better?

DeepSeek R1 Distill Qwen 14B (by DeepSeek) and DeepSeek-V3 0324 (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 R1 Distill Qwen 14B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while DeepSeek-V3 0324 is better at 2 benchmarks (GPQA, MATH-500). Both models are evenly matched across the benchmarks.

Choose DeepSeek R1 Distill Qwen 14B if…

  • you are already invested in the DeepSeek ecosystem

Choose DeepSeek-V3 0324 if…

  • you want the most recent training data — it shipped Mar 2025
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while DeepSeek-V3 0324 is better at 2 benchmarks (GPQA, MATH-500).

Both models are evenly matched across the benchmarks.

Fri Jun 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

656.2B diff

DeepSeek-V3 0324 has 656.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 4433.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
DeepSeek
DeepSeek-V3 0324
671.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
671.0B
DeepSeek-V3 0324

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 R1 Distill Qwen 14B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Fri Jun 19 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while DeepSeek-V3 0324 uses MIT + Model License (Commercial use allowed).

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while DeepSeek-V3 0324 was released on 2025-03-25.

DeepSeek-V3 0324 is 2 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.4 years ago

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

2mo 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher AIME 2024 score (80.0% vs 59.4%)
Higher LiveCodeBench score (53.1% vs 49.2%)
DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (68.4% vs 59.1%)
Higher MATH-500 score (94.0% vs 93.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
DeepSeek
DeepSeek-V3 0324

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs DeepSeek-V3 0324.

Which is better, DeepSeek R1 Distill Qwen 14B or DeepSeek-V3 0324?

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and DeepSeek-V3 0324 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 14B compare to DeepSeek-V3 0324 in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and DeepSeek-V3 0324?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and DeepSeek-V3 0324 supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 14B and DeepSeek-V3 0324?

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

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