DeepSeek R1 Distill Llama 8B vs IBM Granite 4.2 30B
IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 7.2.
DeepSeek · IBM · Updated for 2026
Which is better?
IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 7.2, ranking #156 overall.
In the 1 individual benchmarks reported for both models, IBM Granite 4.2 30B wins 1; 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 Llama 8B
- you are already invested in the DeepSeek ecosystem
Choose IBM Granite 4.2 30B
- overall performance matters — it scores 24.0 and ranks #156 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Aug 2026
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 Llama 8B · 18 for IBM Granite 4.2 30B
DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while IBM Granite 4.2 30B is better at 1 benchmark (GPQA).
IBM Granite 4.2 30B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
IBM Granite 4.2 30B has 22.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 273.6% larger.
License
Usage and distribution terms
DeepSeek R1 Distill Llama 8B is licensed under MIT, while IBM Granite 4.2 30B 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 Llama 8B was released on 2025-01-20, while IBM Granite 4.2 30B was released on 2026-08-25.
IBM Granite 4.2 30B is 19 months newer than DeepSeek R1 Distill Llama 8B.
Jan 20, 2025
1.6 years ago
Aug 25, 2026
5 days ago
1.6yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 8B and IBM Granite 4.2 30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 8B vs IBM Granite 4.2 30B.