Model Comparison

DeepSeek R1 Distill Qwen 14B vs Devstral Medium

Comparing DeepSeek R1 Distill Qwen 14B and Devstral Medium across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Devstral Medium specifies input context (128,000 tokens). Only Devstral Medium specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Sat May 02 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Devstral Medium uses a proprietary license.

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Devstral Medium

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Devstral Medium was released on 2025-07-10.

Devstral Medium is 6 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.3 years ago

Devstral Medium

Jul 10, 2025

9 months ago

5mo 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
Has open weights
Mistral AI
Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Mistral AI
Devstral Medium

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Devstral Medium.

Which is better, DeepSeek R1 Distill Qwen 14B or Devstral Medium?

DeepSeek R1 Distill Qwen 14B (DeepSeek) and Devstral Medium (Mistral AI) 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 Devstral Medium in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Devstral Medium scores SWE-Bench Verified: 61.6%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and Devstral Medium?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Devstral Medium supports 128K 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 Devstral Medium?

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

Who makes DeepSeek R1 Distill Qwen 14B and Devstral Medium?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Devstral Medium is developed by Mistral AI.