Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Codestral-22B

Comparing DeepSeek R1 Distill Qwen 1.5B and Codestral-22B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 1.5B and Codestral-22B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 04 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

20.4B diff

Codestral-22B has 20.4B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 1147.2% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Mistral AI
Codestral-22B
22.2Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
22.2B
Codestral-22B

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B 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 1.5B

MIT

Open weights

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Codestral-22B was released on 2024-05-29.

DeepSeek R1 Distill Qwen 1.5B is 8 months newer than Codestral-22B.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.2 years ago

7mo newer
Codestral-22B

May 29, 2024

1.8 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

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Key Takeaways

DeepSeek
Mistral AI

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Mistral AI
Codestral-22B

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Codestral-22B

DeepSeek R1 Distill Qwen 1.5B (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.
DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.
Key differences include licensing (MIT vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Codestral-22B is developed by Mistral AI.