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Gemini 4 Argon vs GPT-4o

Gemini 4 Argon leads the LLM Stats Score 55.1 to 11.5.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 11.5, 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 GPT-4o

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

At a glance

The differences that matter most.

Gemini 4 Argon
Google
GPT-4o
OpenAI
Core performance indexes
LLM Stats Score
55.1
#4
11.5
#273
Reasoning
52.4
#7
12.2
#262
Coding
44.1
#4
11.7
#166
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.50 / M
Output price
— / M
$10.00 / M
Context window
—
128,000

Individual benchmarks

19 reported for Gemini 4 Argon · 8 for GPT-4o

No common benchmarks found

Gemini 4 Argon and GPT-4odon'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 GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and GPT-4o support multimodal inputs.

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

Gemini 4 Argon

Text
Images
Audio
Video

GPT-4o

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

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while GPT-4o was released on 2024-05-13.

Gemini 4 Argon is 29 months newer than GPT-4o.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2.4yr newer
GPT-4o

May 13, 2024

2.4 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 GPT-4o side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
GPT-4o
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs GPT-4o.

Which is better, Gemini 4 Argon or GPT-4o?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 11.5. Gemini 4 Argon is made by Google and GPT-4o 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 GPT-4o 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%. GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%.

What are the context window sizes for Gemini 4 Argon and GPT-4o?

Gemini 4 Argon supports an unknown number of tokens and GPT-4o 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 GPT-4o?

Key differences include LLM Stats Score (55.1 vs 11.5). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GPT-4o?

Gemini 4 Argon is developed by Google and GPT-4o is developed by OpenAI.

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