Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Mistral Small

Comparing DeepSeek R1 Distill Qwen 1.5B and Mistral Small 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 Mistral Small don'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

20.2B diff

Mistral Small has 20.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 1136.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Mistral AI
Mistral Small
22.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
22.0B
Mistral Small

Context Window

Maximum input and output token capacity

Only Mistral Small specifies input context (32,768 tokens). Only Mistral Small specifies output context (32,768 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Tue May 26 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Mistral Small uses Mistral Research License.

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

Mistral Small

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Mistral Small was released on 2024-09-17.

DeepSeek R1 Distill Qwen 1.5B is 4 months newer than Mistral Small.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.3 years ago

4mo newer
Mistral Small

Sep 17, 2024

1.7 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

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

Mistral AI
Larger context window (32,768 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Mistral AI
Mistral Small

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Mistral Small.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Mistral Small?

DeepSeek R1 Distill Qwen 1.5B (DeepSeek) and Mistral Small (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 1.5B compare to Mistral Small in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and Mistral Small?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Mistral Small supports 33K 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 1.5B and Mistral Small?

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

Who makes DeepSeek R1 Distill Qwen 1.5B and Mistral Small?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Mistral Small is developed by Mistral AI.