DeepSeek R1 Distill Qwen 7B vs Granite 3.3 8B Base
DeepSeek R1 Distill Qwen 7B leads the LLM Stats Score 8.5 to -0.3.
DeepSeek · IBM · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 7B leads the overall LLM Stats Score 8.5 to -0.3, ranking #266 overall.
In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 7B wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Qwen 7B
- overall performance matters — it scores 8.5 and ranks #266 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
Choose Granite 3.3 8B Base
- you want the most recent training data — it shipped Apr 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Qwen 7B · 20 for Granite 3.3 8B Base
DeepSeek R1 Distill Qwen 7B outperforms in 2 benchmarks (AIME 2024, MATH-500), while Granite 3.3 8B Base is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Granite 3.3 8B Base has 0.6B more parameters than DeepSeek R1 Distill Qwen 7B, making it 7.2% larger.
Input capabilities
Documented input modalities across available providers
Granite 3.3 8B Base supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.
Granite 3.3 8B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 7B
Granite 3.3 8B Base
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 7B is licensed under MIT, while Granite 3.3 8B Base uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Granite 3.3 8B Base was released on 2025-04-16.
Granite 3.3 8B Base is 3 months newer than DeepSeek R1 Distill Qwen 7B.
Jan 20, 2025
1.6 years ago
Apr 16, 2025
1.4 years ago
2mo newerKnowledge Cutoff
When training data ends
Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while DeepSeek R1 Distill Qwen 7B's cutoff date is not specified.
We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 7B's cutoff date.
—
Apr 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 7B and Granite 3.3 8B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 7B vs Granite 3.3 8B Base.