Model Comparison

DeepSeek R1 Distill Qwen 14B vs Codestral-22BWhich is better in 2026?

Comparing DeepSeek R1 Distill Qwen 14B and Codestral-22B across benchmarks, pricing, and capabilities.

Verdict: DeepSeek R1 Distill Qwen 14B vs Codestral-22B — which is better?

DeepSeek R1 Distill Qwen 14B (by DeepSeek) and Codestral-22B (by Mistral AI) 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 Codestral-22B if…

  • you are already invested in the Mistral AI ecosystem
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 14B and Codestral-22Bdon'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

7.4B diff

Codestral-22B has 7.4B more parameters than DeepSeek R1 Distill Qwen 14B, making it 50.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Mistral AI
Codestral-22B
22.2Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
22.2B
Codestral-22B

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Codestral-22B uses MNPL-0.1.

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Codestral-22B was released on 2024-05-29.

DeepSeek R1 Distill Qwen 14B is 8 months newer than Codestral-22B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.4 years ago

7mo newer
Codestral-22B

May 29, 2024

2.1 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

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

Mistral AI

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Mistral AI
Codestral-22B

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Codestral-22B.

Which is better, DeepSeek R1 Distill Qwen 14B or Codestral-22B?

DeepSeek R1 Distill Qwen 14B (DeepSeek) and Codestral-22B (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 Codestral-22B in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.

What are the main differences between DeepSeek R1 Distill Qwen 14B and Codestral-22B?

Key differences include licensing (MIT vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 14B and Codestral-22B?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Codestral-22B is developed by Mistral AI.

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