Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Qwen2.5 14B Instruct is better at 1 benchmark (GPQA).

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

Thu Apr 23 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

Done comparing? Ship the phone agent.

One API for outbound and inbound calls.

$0.05 /min all-in7 lines of code

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 23 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

12.9B diff

Qwen2.5 14B Instruct has 12.9B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 725.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
14.7B
Qwen2.5 14B Instruct

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Qwen2.5 14B Instruct uses Apache 2.0.

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

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Qwen2.5 14B Instruct was released on 2024-09-19.

DeepSeek R1 Distill Qwen 1.5B is 4 months newer than Qwen2.5 14B Instruct.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.3 years ago

4mo newer
Qwen2.5 14B 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

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (45.5% vs 33.8%)

Detailed Comparison

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.
Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.