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Gemini 4 Argon vs o3-mini

Gemini 4 Argon leads the LLM Stats Score 55.1 to 21.4.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 21.4, ranking #4 overall.

In the 1 individual benchmarks reported for both models, Gemini 4 Argon wins 1; this is a narrower head-to-head signal than the composite indexes.

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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose o3-mini

  • you want predictable pricing at $1.10/M input and $4.40/M output

At a glance

The differences that matter most.

Core performance indexes
55.1
#4
21.4
#203
52.4
#7
20.5
#202
44.1
#4
5.0
#217
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
—
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
o3-mini
30.6#6
-0.1#193
30.6#3
0.9#112
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 25 for o3-mini

1 shared

Gemini 4 Argon outperforms in 1 benchmarks (Graphwalks BFS <128k), while o3-mini is better at 0 benchmarks.

Gemini 4 Argon significantly outperforms across most benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o3-mini specifies input context (200,000 tokens). Only o3-mini specifies output context (100,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas o3-mini 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

o3-mini

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

o3-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while o3-mini was released on 2025-01-30.

Gemini 4 Argon is 20 months newer than o3-mini.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1.7yr newer
o3-mini

Jan 30, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while Gemini 4 Argon's cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

o3-mini

Sep 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and o3-mini side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
o3-mini
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs o3-mini.

Which is better, Gemini 4 Argon or o3-mini?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 21.4. Gemini 4 Argon is made by Google and o3-mini is made by OpenAI. 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 o3-mini 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%. o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.

What are the context window sizes for Gemini 4 Argon and o3-mini?

Gemini 4 Argon supports an unknown number of tokens and o3-mini supports 200K 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 o3-mini?

Key differences include LLM Stats Score (55.1 vs 21.4), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and o3-mini?

Gemini 4 Argon is developed by Google and o3-mini is developed by OpenAI.