DeepSeek-V4-Pro-0813 vs IBM Granite 4.2 30B
DeepSeek-V4-Pro-0813 leads the LLM Stats Score 52.9 to 24.0.
DeepSeek · IBM · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 52.9 to 24.0, ranking #8 overall.
In the 1 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 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-V4-Pro-0813
- overall performance matters — it scores 52.9 and ranks #8 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose IBM Granite 4.2 30B
- 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
12 reported for DeepSeek-V4-Pro-0813 · 18 for IBM Granite 4.2 30B
DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Terminal-Bench 2.1), while IBM Granite 4.2 30B is better at 0 benchmarks.
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1570.0B more parameters than IBM Granite 4.2 30B, making it 5233.3% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 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-V4-Pro-0813 was released on 2026-08-13, while IBM Granite 4.2 30B was released on 2026-08-25.
IBM Granite 4.2 30B is 0 month newer than DeepSeek-V4-Pro-0813.
Aug 13, 2026
2 weeks ago
Aug 25, 2026
1 weeks ago
1w 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-V4-Pro-0813 and IBM Granite 4.2 30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs IBM Granite 4.2 30B.