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Gemini 4 Argon vs GPT-5 nano

Gemini 4 Argon leads the LLM Stats Score 55.1 to 18.9. GPT-5 nano is 29.1x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 18.9, ranking #4 overall.

On price, GPT-5 nano is roughly 29.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 4 Argon also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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 process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose GPT-5 nano

  • cost matters — it's about 29.1x cheaper per token

At a glance

The differences that matter most.

Gemini 4 Argon
Google
GPT-5 nano
OpenAI
Core performance indexes
LLM Stats Score
55.1
#4
18.9
#231
Reasoning
53.2
#6
18.3
#232
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
$0.05 / M
Output price
$10.00 / M
$0.40 / M
Context window
1,048,576
400,000

Individual benchmarks

19 reported for Gemini 4 Argon · 5 for GPT-5 nano

No common benchmarks found

Gemini 4 Argon and GPT-5 nanodon'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

Pricing Analysis

Price comparison per million tokens

GPT-5 nano costs less

For input processing, Gemini 4 Argon ($2.00/1M tokens) is 40.0x more expensive than GPT-5 nano ($0.05/1M tokens).

For output processing, Gemini 4 Argon ($10.00/1M tokens) is 25.0x more expensive than GPT-5 nano ($0.40/1M tokens).

In conclusion, Gemini 4 Argon is more expensive than GPT-5 nano.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
Google
Gemini 4 Argon
Input tokens$2.00
Output tokens$10.00
Best providerGoogle
OpenAI
GPT-5 nano
Input tokens$0.05
Output tokens$0.40
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Gemini 4 Argon accepts 1,048,576 input tokens compared to GPT-5 nano's 400,000 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while GPT-5 nano is limited to 128,000 tokens.

Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and GPT-5 nano 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-5 nano

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-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while GPT-5 nano was released on 2025-08-07.

Gemini 4 Argon is 14 months newer than GPT-5 nano.

Gemini 4 Argon

Sep 30, 2026

3 weeks ago

1.1yr newer
GPT-5 nano

Aug 7, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Gemini 4 Argon's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

GPT-5 nano

May 2024

Provider Availability

Gemini 4 Argon is available from Google. GPT-5 nano is available from OpenAI.

Gemini 4 Argon

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

GPT-5 nano

openai logo
OpenAI
Input Price:Input: $0.05/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and GPT-5 nano side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
GPT-5 nano
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs GPT-5 nano.

Which is better, Gemini 4 Argon or GPT-5 nano?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 18.9. Gemini 4 Argon is made by Google and GPT-5 nano 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-5 nano 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-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.

Is Gemini 4 Argon cheaper than GPT-5 nano?

GPT-5 nano is 40.0x cheaper for input tokens. Gemini 4 Argon costs $2.00/M input and $10.00/M output via google. GPT-5 nano costs $0.05/M input and $0.40/M output via openai.

What are the context window sizes for Gemini 4 Argon and GPT-5 nano?

Gemini 4 Argon supports 1.0M tokens and GPT-5 nano supports 400K 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-5 nano?

Key differences include LLM Stats Score (55.1 vs 18.9), context window (1.0M vs 400K), input pricing ($2.00 vs $0.05/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GPT-5 nano?

Gemini 4 Argon is developed by Google and GPT-5 nano is developed by OpenAI.

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