Model Comparison

DeepSeek R1 Distill Qwen 7B vs DeepSeek-R1

Comparing DeepSeek R1 Distill Qwen 7B and DeepSeek-R1 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 7B and DeepSeek-R1 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

663.4B diff

DeepSeek-R1 has 663.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 8705.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
DeepSeek
DeepSeek-R1
671.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
671.0B
DeepSeek-R1

Context Window

Maximum input and output token capacity

Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Thu May 14 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

DeepSeek-R1

MIT

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-01-20.

They likely represent similar generations of model development.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.3 years ago

DeepSeek-R1

Jan 20, 2025

1.3 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.

Larger context window (131,072 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
DeepSeek
DeepSeek-R1

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs DeepSeek-R1.

Which is better, DeepSeek R1 Distill Qwen 7B or DeepSeek-R1?

DeepSeek R1 Distill Qwen 7B (DeepSeek) and DeepSeek-R1 (DeepSeek) 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 7B compare to DeepSeek-R1 in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and DeepSeek-R1?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and DeepSeek-R1 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.