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IBM Granite 4.2 30B vs Ministral 3 (8B Reasoning 2512)

IBM Granite 4.2 30B and Ministral 3 (8B Reasoning 2512) are closely matched at 24.0 and 16.6 on the LLM Stats Score.

IBM · Mistral AI · Updated for 2026

Which is better?

IBM Granite 4.2 30B and Ministral 3 (8B Reasoning 2512) are closely matched on the overall LLM Stats Score at 24.0 and 16.6.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose IBM Granite 4.2 30B

  • you want the most recent training data — it shipped Aug 2026

Choose Ministral 3 (8B Reasoning 2512)

  • you want predictable pricing at $0.15/M input and $0.15/M output

At a glance

The differences that matter most.

Core performance indexes
24.0
#156
16.6
#206
21.8
#165
16.7
#198
9.6
#159
9.1
#164
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.15 / M
Output price
— / M
$0.15 / M
Context window
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
IBM Granite 4.2 30B
Ministral 3 (8B Reasoning 2512)
25.6#103
17.1#190
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 4 for Ministral 3 (8B Reasoning 2512)

2 shared

IBM Granite 4.2 30B outperforms in 1 benchmarks (AIME 2025), while Ministral 3 (8B Reasoning 2512) is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

22.0B diff

IBM Granite 4.2 30B has 22.0B more parameters than Ministral 3 (8B Reasoning 2512), making it 275.0% larger.

IBM
IBM Granite 4.2 30B
30.0Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
30.0B
IBM Granite 4.2 30B
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

Only Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas IBM Granite 4.2 30B does not.

Ministral 3 (8B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

IBM Granite 4.2 30B

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

IBM Granite 4.2 30B

Apache 2.0

Open weights

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.

IBM Granite 4.2 30B is 9 months newer than Ministral 3 (8B Reasoning 2512).

IBM Granite 4.2 30B

Aug 25, 2026

5 days ago

8mo newer
Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

8 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against IBM Granite 4.2 30B and Ministral 3 (8B Reasoning 2512) side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
Ministral 3 (8B Reasoning 2512)
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs Ministral 3 (8B Reasoning 2512).

Which is better, IBM Granite 4.2 30B or Ministral 3 (8B Reasoning 2512)?

IBM Granite 4.2 30B and Ministral 3 (8B Reasoning 2512) are closely matched on the LLM Stats Score at 24.0 and 16.6. IBM Granite 4.2 30B is made by IBM and Ministral 3 (8B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does IBM Granite 4.2 30B compare to Ministral 3 (8B Reasoning 2512) in benchmarks?

IBM Granite 4.2 30B scores RULER 64k: 90.0%, AIME 2025: 89.2%, HMMT25: 89.2%, RULER 128k: 81.4%, MMLU-Pro: 77.6%. Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.

What are the context window sizes for IBM Granite 4.2 30B and Ministral 3 (8B Reasoning 2512)?

IBM Granite 4.2 30B supports an unknown number of tokens and Ministral 3 (8B Reasoning 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between IBM Granite 4.2 30B and Ministral 3 (8B Reasoning 2512)?

Key differences include LLM Stats Score (24.0 vs 16.6), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and Ministral 3 (8B Reasoning 2512)?

IBM Granite 4.2 30B is developed by IBM and Ministral 3 (8B Reasoning 2512) is developed by Mistral AI.