DeepSeek VL2 vs IBM Granite 4.2 30B
IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 3.2.
DeepSeek · IBM · Updated for 2026
Which is better?
IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 3.2, ranking #156 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek VL2
- 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 want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
14 reported for DeepSeek VL2 · 18 for IBM Granite 4.2 30B
DeepSeek VL2 and IBM Granite 4.2 30Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
IBM Granite 4.2 30B has 3.0B more parameters than DeepSeek VL2, making it 11.1% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).
Input capabilities
Documented input modalities across available providers
DeepSeek VL2 supports multimodal inputs, whereas IBM Granite 4.2 30B does not.
DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek VL2
IBM Granite 4.2 30B
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, 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.
deepseek
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while IBM Granite 4.2 30B was released on 2026-08-25.
IBM Granite 4.2 30B is 21 months newer than DeepSeek VL2.
Dec 13, 2024
1.7 years ago
Aug 25, 2026
6 days ago
1.7yr 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 VL2 and IBM Granite 4.2 30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 vs IBM Granite 4.2 30B.