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IBM Granite 4.2 30B vs Muse Spark 1.1

Muse Spark 1.1 leads the LLM Stats Score 50.3 to 24.0.

IBM · Meta · Updated for 2026

Which is better?

Muse Spark 1.1 leads the overall LLM Stats Score 50.3 to 24.0, ranking #14 overall.

In the 2 individual benchmarks reported for both models, Muse Spark 1.1 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

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.1

  • overall performance matters — it scores 50.3 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • 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
50.3
#14
21.8
#165
50.7
#10
9.6
#159
35.5
#25
7.9
#124
35.2
#16
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
IBM Granite 4.2 30B
Muse Spark 1.1
10.6#116
32.4#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 11 for Muse Spark 1.1

2 shared

IBM Granite 4.2 30B outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 2 benchmarks (SWE-Bench Pro, Terminal-Bench 2.1).

Muse Spark 1.1 significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Spark 1.1 specifies input context (1,048,576 tokens). Only Muse Spark 1.1 specifies output context (131,072 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.1 supports multimodal inputs, whereas IBM Granite 4.2 30B does not.

Muse Spark 1.1 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

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

IBM Granite 4.2 30B is licensed under Apache 2.0, while Muse Spark 1.1 uses a proprietary license.

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

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while Muse Spark 1.1 was released on 2026-07-09.

IBM Granite 4.2 30B is 2 months newer than Muse Spark 1.1.

IBM Granite 4.2 30B

Aug 25, 2026

6 days ago

1mo newer
Muse Spark 1.1

Jul 9, 2026

1 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 Muse Spark 1.1 side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
Muse Spark 1.1
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs Muse Spark 1.1.

Which is better, IBM Granite 4.2 30B or Muse Spark 1.1?

Muse Spark 1.1 leads the LLM Stats Score 50.3 to 24.0. IBM Granite 4.2 30B is made by IBM and Muse Spark 1.1 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 Muse Spark 1.1 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%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

What are the context window sizes for IBM Granite 4.2 30B and Muse Spark 1.1?

IBM Granite 4.2 30B supports an unknown number of tokens and Muse Spark 1.1 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 Muse Spark 1.1?

Key differences include LLM Stats Score (24.0 vs 50.3), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and Muse Spark 1.1?

IBM Granite 4.2 30B is developed by IBM and Muse Spark 1.1 is developed by Meta.