Model Comparison

DeepSeek-R1 vs Qwen2.5 7B Instruct

Comparing DeepSeek-R1 and Qwen2.5 7B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Qwen2.5 7B Instruct 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

Qwen2.5 7B Instruct costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 1.8x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 7.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than Qwen2.5 7B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun May 10 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

663.4B diff

DeepSeek-R1 has 663.4B more parameters than Qwen2.5 7B Instruct, making it 8717.3% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
671.0B
DeepSeek-R1
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Sun May 10 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 is licensed under MIT, while Qwen2.5 7B Instruct uses Apache 2.0.

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

DeepSeek-R1

MIT

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Qwen2.5 7B Instruct was released on 2024-09-19.

DeepSeek-R1 is 4 months newer than Qwen2.5 7B Instruct.

DeepSeek-R1

Jan 20, 2025

1.3 years ago

4mo newer
Qwen2.5 7B Instruct

Sep 19, 2024

1.6 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

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Qwen2.5 7B Instruct is available from Together.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

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

Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about DeepSeek-R1 vs Qwen2.5 7B Instruct.

Which is better, DeepSeek-R1 or Qwen2.5 7B Instruct?

DeepSeek-R1 (DeepSeek) and Qwen2.5 7B Instruct (Alibaba Cloud / Qwen Team) 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 compare to Qwen2.5 7B Instruct in benchmarks?

Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

Is DeepSeek-R1 cheaper than Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is 1.8x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.

What are the context window sizes for DeepSeek-R1 and Qwen2.5 7B Instruct?

DeepSeek-R1 supports 131K tokens and Qwen2.5 7B Instruct supports 131K 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 and Qwen2.5 7B Instruct?

Key differences include input pricing ($0.55 vs $0.30/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1 and Qwen2.5 7B Instruct?

DeepSeek-R1 is developed by DeepSeek and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.