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Gemini 4 Argon vs Gemini Diffusion

Gemini 4 Argon leads the LLM Stats Score 55.1 to 0.4.

Google · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 0.4, 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 Gemini Diffusion

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Gemini Diffusion
Google
Core performance indexes
LLM Stats Score
55.1
#4
0.4
#349
Reasoning
53.2
#6
0.4
#341
Coding
42.5
#7
2.5
#247
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,048,576
—

Individual benchmarks

19 reported for Gemini 4 Argon · 10 for Gemini Diffusion

No common benchmarks found

Gemini 4 Argon and Gemini Diffusiondon'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 Gemini 4 Argon specifies input context (1,048,576 tokens). Only Gemini 4 Argon specifies output context (1,048,576 tokens).

Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
Google
Gemini Diffusion
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Gemini Diffusion 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

Gemini Diffusion

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 4 Argon

Proprietary

Closed source

Gemini Diffusion

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Gemini Diffusion was released on 2025-05-20.

Gemini 4 Argon is 17 months newer than Gemini Diffusion.

Gemini 4 Argon

Sep 30, 2026

3 weeks ago

1.4yr newer
Gemini Diffusion

May 20, 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?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Gemini Diffusion side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Gemini Diffusion
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Gemini Diffusion.

Which is better, Gemini 4 Argon or Gemini Diffusion?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 0.4. Gemini 4 Argon is made by Google and Gemini Diffusion is made by Google. 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 Gemini Diffusion 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%. Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%.

What are the context window sizes for Gemini 4 Argon and Gemini Diffusion?

Gemini 4 Argon supports 1.0M tokens and Gemini Diffusion supports an unknown number of 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 Gemini Diffusion?

Key differences include LLM Stats Score (55.1 vs 0.4), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

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