The AI arena is free today

Open Superagent

Gemini 4 Argon vs IBM Granite 4.2 8B

Gemini 4 Argon leads the LLM Stats Score 55.1 to 19.6.

Google · IBM · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 19.6, ranking #4 overall.

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

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose IBM Granite 4.2 8B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Argon
Google
IBM Granite 4.2 8B
IBM
Core performance indexes
LLM Stats Score
55.1
#4
19.6
#217
Reasoning
52.4
#7
17.3
#225
Coding
44.1
#4
2.1
#240
Agents
40.5
#4
1.6
#183
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.06 / M
Output price
— / M
$0.25 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
IBM Granite 4.2 8B
Tool use
30.6#6
1.4#183
Long context
30.6#3
7.8#93
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 18 for IBM Granite 4.2 8B

No common benchmarks found

Gemini 4 Argon and IBM Granite 4.2 8Bdon'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

Context Window

Maximum input and output token capacity

Only IBM Granite 4.2 8B specifies input context (131,072 tokens). Only IBM Granite 4.2 8B specifies output context (131,072 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
IBM
IBM Granite 4.2 8B
Input131,072 tokens
Output131,072 tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas IBM Granite 4.2 8B does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

IBM Granite 4.2 8B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while IBM Granite 4.2 8B uses Apache 2.0.

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

Gemini 4 Argon

Proprietary

Closed source

IBM Granite 4.2 8B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while IBM Granite 4.2 8B was released on 2026-08-25.

Gemini 4 Argon is 1 month newer than IBM Granite 4.2 8B.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1mo newer
IBM Granite 4.2 8B

Aug 25, 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?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and IBM Granite 4.2 8B side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
IBM Granite 4.2 8B
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs IBM Granite 4.2 8B.

Which is better, Gemini 4 Argon or IBM Granite 4.2 8B?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 19.6. Gemini 4 Argon is made by Google and IBM Granite 4.2 8B is made by IBM. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 4 Argon compare to IBM Granite 4.2 8B in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. IBM Granite 4.2 8B scores AIME 2025: 86.7%, RULER 64k: 81.0%, IFBench: 79.3%, HMMT25: 78.3%, MMLU-Pro: 74.0%.

What are the context window sizes for Gemini 4 Argon and IBM Granite 4.2 8B?

Gemini 4 Argon supports an unknown number of tokens and IBM Granite 4.2 8B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 4 Argon and IBM Granite 4.2 8B?

Key differences include LLM Stats Score (55.1 vs 19.6), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and IBM Granite 4.2 8B?

Gemini 4 Argon is developed by Google and IBM Granite 4.2 8B is developed by IBM.

Related comparisons