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IBM Granite 4.2 30B vs Llama 4 Maverick

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 14.9.

IBM · Meta · Updated for 2026

Which is better?

IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 14.9, ranking #156 overall.

In the 2 individual benchmarks reported for both models, Llama 4 Maverick 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 want the most recent training data — it shipped Aug 2026

Choose Llama 4 Maverick

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

At a glance

The differences that matter most.

Core performance indexes
24.0
#156
14.9
#216
21.8
#165
14.6
#214
9.6
#159
3.2
#206
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.17 / M
Output price
— / M
$0.60 / M
Context window
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
IBM Granite 4.2 30B
Llama 4 Maverick
25.6#103
20.6#147
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 13 for Llama 4 Maverick

2 shared

IBM Granite 4.2 30B outperforms in 0 benchmarks, while Llama 4 Maverick is better at 2 benchmarks (GPQA, MMLU-Pro).

Llama 4 Maverick significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

370.0B diff

Llama 4 Maverick has 370.0B more parameters than IBM Granite 4.2 30B, making it 1233.3% larger.

IBM
IBM Granite 4.2 30B
30.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
30.0B
IBM Granite 4.2 30B
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 4 Maverick supports multimodal inputs, whereas IBM Granite 4.2 30B does not.

Llama 4 Maverick 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

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

IBM Granite 4.2 30B is licensed under Apache 2.0, while Llama 4 Maverick uses Llama 4 Community License Agreement.

License differences may affect how you can use these models in commercial or open-source projects.

IBM Granite 4.2 30B

Apache 2.0

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while Llama 4 Maverick was released on 2025-04-05.

IBM Granite 4.2 30B is 17 months newer than Llama 4 Maverick.

IBM Granite 4.2 30B

Aug 25, 2026

5 days ago

1.4yr newer
Llama 4 Maverick

Apr 5, 2025

1.4 years 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 Llama 4 Maverick side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
Llama 4 Maverick
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs Llama 4 Maverick.

Which is better, IBM Granite 4.2 30B or Llama 4 Maverick?

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 14.9. IBM Granite 4.2 30B is made by IBM and Llama 4 Maverick is made by Meta. 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 Llama 4 Maverick 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%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

What are the context window sizes for IBM Granite 4.2 30B and Llama 4 Maverick?

IBM Granite 4.2 30B supports an unknown number of tokens and Llama 4 Maverick supports 1.0M 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 Llama 4 Maverick?

Key differences include LLM Stats Score (24.0 vs 14.9), multimodal support (no vs yes), licensing (Apache 2.0 vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and Llama 4 Maverick?

IBM Granite 4.2 30B is developed by IBM and Llama 4 Maverick is developed by Meta.