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IBM Granite 4.2 30B vs Pixtral Large

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 11.9.

IBM · Mistral AI · Updated for 2026

Which is better?

IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 11.9, ranking #156 overall.

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

Choose Pixtral Large

  • you want predictable pricing at $2.00/M input and $6.00/M output

At a glance

The differences that matter most.

Core performance indexes
24.0
#156
11.9
#240
21.8
#165
13.2
#224
Cost, coverage & limits
Benchmark wins
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
128,000

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 7 for Pixtral Large

No common benchmarks found

IBM Granite 4.2 30B and Pixtral Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

94.0B diff

Pixtral Large has 94.0B more parameters than IBM Granite 4.2 30B, making it 313.3% larger.

IBM
IBM Granite 4.2 30B
30.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
30.0B
IBM Granite 4.2 30B
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral Large supports multimodal inputs, whereas IBM Granite 4.2 30B does not.

Pixtral Large 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

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

IBM Granite 4.2 30B is licensed under Apache 2.0, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while Pixtral Large was released on 2024-11-18.

IBM Granite 4.2 30B is 22 months newer than Pixtral Large.

IBM Granite 4.2 30B

Aug 25, 2026

6 days ago

1.8yr newer
Pixtral Large

Nov 18, 2024

1.8 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 Pixtral Large side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs Pixtral Large.

Which is better, IBM Granite 4.2 30B or Pixtral Large?

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 11.9. IBM Granite 4.2 30B is made by IBM and Pixtral Large 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 Pixtral Large 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%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for IBM Granite 4.2 30B and Pixtral Large?

IBM Granite 4.2 30B supports an unknown number of tokens and Pixtral Large supports 128K 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 Pixtral Large?

Key differences include LLM Stats Score (24.0 vs 11.9), multimodal support (no vs yes), licensing (Apache 2.0 vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and Pixtral Large?

IBM Granite 4.2 30B is developed by IBM and Pixtral Large is developed by Mistral AI.