DeepSeek-V3.2 (Thinking) vs IBM Granite 4.2 30B
DeepSeek-V3.2 (Thinking) leads the LLM Stats Score 33.0 to 24.0.
DeepSeek · IBM · Updated for 2026
Which is better?
DeepSeek-V3.2 (Thinking) leads the overall LLM Stats Score 33.0 to 24.0, ranking #90 overall.
In the 5 individual benchmarks reported for both models, DeepSeek-V3.2 (Thinking) wins 5; 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-V3.2 (Thinking)
- overall performance matters — it scores 33.0 and ranks #90 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 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
14 reported for DeepSeek-V3.2 (Thinking) · 18 for IBM Granite 4.2 30B
DeepSeek-V3.2 (Thinking) outperforms in 5 benchmarks (AIME 2025, GPQA, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Verified), while IBM Granite 4.2 30B is better at 0 benchmarks.
DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V3.2 (Thinking) has 655.0B more parameters than IBM Granite 4.2 30B, making it 2183.3% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.2 (Thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Thinking) specifies output context (65,536 tokens).
License
Usage and distribution terms
DeepSeek-V3.2 (Thinking) 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-V3.2 (Thinking) was released on 2025-12-01, while IBM Granite 4.2 30B was released on 2026-08-25.
IBM Granite 4.2 30B is 9 months newer than DeepSeek-V3.2 (Thinking).
Dec 1, 2025
9 months ago
Aug 25, 2026
6 days ago
8mo 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-V3.2 (Thinking) and IBM Granite 4.2 30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.2 (Thinking) vs IBM Granite 4.2 30B.