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Gemini 1.5 Pro vs Gemini 4 Argon

Gemini 4 Argon leads the LLM Stats Score 55.1 to 12.0.

Google · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 12.0, ranking #4 overall.

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

Choose Gemini 1.5 Pro

  • you want predictable pricing at $2.50/M input and $10.00/M output

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

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Gemini 4 Argon
Google
Core performance indexes
LLM Stats Score
12.0
#271
55.1
#4
Reasoning
11.8
#266
52.4
#7
Coding
4.3
#222
44.1
#4
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
2,097,152
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 1.5 Pro
Gemini 4 Argon
Vision
9.3#137
36.8#8
Multimodal
13.3#109
36.9#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 19 for Gemini 4 Argon

No common benchmarks found

Gemini 1.5 Pro and Gemini 4 Argondon'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 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Google
Gemini 4 Argon
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Pro and Gemini 4 Argon support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 1.5 Pro

Text
Images
Audio
Video

Gemini 4 Argon

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 1.5 Pro

Proprietary

Closed source

Gemini 4 Argon

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Gemini 4 Argon was released on 2026-09-30.

Gemini 4 Argon is 29 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.4 years ago

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2.4yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Gemini 4 Argon's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 1.5 Pro

Nov 2023

Gemini 4 Argon

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and Gemini 4 Argon side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Gemini 4 Argon
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Gemini 4 Argon.

Which is better, Gemini 1.5 Pro or Gemini 4 Argon?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 12.0. Gemini 1.5 Pro is made by Google and Gemini 4 Argon 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 1.5 Pro compare to Gemini 4 Argon in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. 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%.

What are the context window sizes for Gemini 1.5 Pro and Gemini 4 Argon?

Gemini 1.5 Pro supports 2.1M tokens and Gemini 4 Argon 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 1.5 Pro and Gemini 4 Argon?

Key differences include LLM Stats Score (12.0 vs 55.1). See the full comparison above for benchmark-by-benchmark results.

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