IBM Granite 4.2 30B vs Mistral Small 3.1 24B Base
IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 0.5.
IBM · Mistral AI · Updated for 2026
Which is better?
IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 0.5, ranking #156 overall.
In the 2 individual benchmarks reported for both models, IBM Granite 4.2 30B 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 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 2 of 2 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose Mistral Small 3.1 24B Base
- you want predictable pricing at $0.10/M input and $0.30/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for IBM Granite 4.2 30B · 5 for Mistral Small 3.1 24B Base
IBM Granite 4.2 30B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Mistral Small 3.1 24B Base is better at 0 benchmarks.
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 6.0B more parameters than Mistral Small 3.1 24B Base, making it 25.0% larger.
Context Window
Maximum input and output token capacity
Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Small 3.1 24B Base supports multimodal inputs, whereas IBM Granite 4.2 30B does not.
Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
IBM Granite 4.2 30B
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
IBM Granite 4.2 30B was released on 2026-08-25, while Mistral Small 3.1 24B Base was released on 2025-03-17.
IBM Granite 4.2 30B is 18 months newer than Mistral Small 3.1 24B Base.
Aug 25, 2026
1 weeks ago
1.4yr newerMar 17, 2025
1.5 years ago
Knowledge 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 IBM Granite 4.2 30B and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about IBM Granite 4.2 30B vs Mistral Small 3.1 24B Base.