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Gemini 4 Argon vs Llama 3.2 3B Instruct

Gemini 4 Argon leads the LLM Stats Score 55.1 to -6.1.

Google · Meta · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to -6.1, 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 — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Llama 3.2 3B Instruct

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

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Llama 3.2 3B Instruct
Meta
Core performance indexes
LLM Stats Score
55.1
#4
-6.1
#376
Reasoning
52.4
#7
-6.7
#370
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.01 / M
Output price
— / M
$0.02 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 4 Argon
Llama 3.2 3B Instruct
Tool use
30.6#6
4.7#167
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 15 for Llama 3.2 3B Instruct

No common benchmarks found

Gemini 4 Argon and Llama 3.2 3B Instructdon'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 Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Llama 3.2 3B Instruct 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

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.

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

Gemini 4 Argon

Proprietary

Closed source

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Llama 3.2 3B Instruct was released on 2024-09-25.

Gemini 4 Argon is 25 months newer than Llama 3.2 3B Instruct.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2.0yr newer
Llama 3.2 3B Instruct

Sep 25, 2024

2.0 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?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Llama 3.2 3B Instruct
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Llama 3.2 3B Instruct.

Which is better, Gemini 4 Argon or Llama 3.2 3B Instruct?

Gemini 4 Argon leads the LLM Stats Score 55.1 to -6.1. Gemini 4 Argon is made by Google and Llama 3.2 3B Instruct is made by Meta. 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 Llama 3.2 3B Instruct 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%. Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

What are the context window sizes for Gemini 4 Argon and Llama 3.2 3B Instruct?

Gemini 4 Argon supports an unknown number of tokens and Llama 3.2 3B Instruct 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 Gemini 4 Argon and Llama 3.2 3B Instruct?

Key differences include LLM Stats Score (55.1 vs -6.1), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Llama 3.2 3B Instruct?

Gemini 4 Argon is developed by Google and Llama 3.2 3B Instruct is developed by Meta.

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