Model Comparison

DeepSeek R1 Distill Qwen 14B vs Qwen3-CoderWhich is better in 2026?

Comparing DeepSeek R1 Distill Qwen 14B and Qwen3-Coder across benchmarks, pricing, and capabilities.

Verdict: DeepSeek R1 Distill Qwen 14B vs Qwen3-Coder — which is better?

DeepSeek R1 Distill Qwen 14B (by DeepSeek) and Qwen3-Coder (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.

Choose DeepSeek R1 Distill Qwen 14B if…

  • you want the most recent training data — it shipped Jan 2025

Choose Qwen3-Coder if…

  • you want predictable pricing at $0.18/M input and $0.18/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 14B and Qwen3-Coderdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

465.2B diff

Qwen3-Coder has 465.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 3143.2% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Only Qwen3-Coder specifies input context (256,000 tokens). Only Qwen3-Coder specifies output context (256,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Sun Jun 14 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Qwen3-Coder uses Apache 2.0.

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Qwen3-Coder was released on 2025-01-01.

DeepSeek R1 Distill Qwen 14B is 1 month newer than Qwen3-Coder.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.4 years ago

2w newer
Qwen3-Coder

Jan 1, 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

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

Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Alibaba Cloud / Qwen Team
Qwen3-Coder

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Qwen3-Coder.

Which is better, DeepSeek R1 Distill Qwen 14B or Qwen3-Coder?

DeepSeek R1 Distill Qwen 14B (DeepSeek) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek R1 Distill Qwen 14B compare to Qwen3-Coder in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and Qwen3-Coder?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Qwen3-Coder supports 256K 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 Qwen3-Coder?

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

Who makes DeepSeek R1 Distill Qwen 14B and Qwen3-Coder?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.