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Gemini 4 Argon vs GPT-5.6 Luna

Gemini 4 Argon leads the LLM Stats Score 55.4 to 44.2.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.4 to 44.2, ranking #4 overall.

In the 6 individual benchmarks reported for both models, Gemini 4 Argon wins 5; 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 55.4 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 5 of 6 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose GPT-5.6 Luna

  • you want predictable pricing at $0.20/M input and $1.20/M output

At a glance

The differences that matter most.

Gemini 4 Argon
Google
GPT-5.6 Luna
OpenAI
Core performance indexes
LLM Stats Score
55.4
#4
44.2
#45
Reasoning
53.3
#6
43.2
#47
Coding
43.0
#7
34.4
#34
Agents
40.9
#4
30.0
#42
Cost, coverage & limits
Benchmark wins
5 of 6
1 of 6
Input price
— / M
$0.20 / M
Output price
— / M
$1.20 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Gemini 4 Argon
GPT-5.6 Luna
Vision
36.8#8
23.1#66
Tool use
31.8#5
22.8#46
Long context
30.6#3
21.2#26
Multimodal
37.0#8
23.6#64
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 45 for GPT-5.6 Luna

6 shared

Gemini 4 Argon outperforms in 5 benchmarks (AutomationBench, DeepSWE 1.1, Graphwalks BFS >128k, OSWorld 2.0, Terminal-Bench 4.0), while GPT-5.6 Luna is better at 1 benchmark (Agents' Last Exam).

Gemini 4 Argon significantly outperforms across most benchmarks.

Sat Oct 17 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Sat Oct 17 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and GPT-5.6 Luna 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-5.6 Luna

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-5.6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while GPT-5.6 Luna was released on 2026-07-09.

Gemini 4 Argon is 3 months newer than GPT-5.6 Luna.

Gemini 4 Argon

Sep 30, 2026

2 weeks ago

2mo newer
GPT-5.6 Luna

Jul 9, 2026

3 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Gemini 4 Argon's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

GPT-5.6 Luna

Feb 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and GPT-5.6 Luna side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
GPT-5.6 Luna
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs GPT-5.6 Luna.

Which is better, Gemini 4 Argon or GPT-5.6 Luna?

Gemini 4 Argon leads the LLM Stats Score 55.4 to 44.2. Gemini 4 Argon is made by Google and GPT-5.6 Luna 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-5.6 Luna 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-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%.

What are the context window sizes for Gemini 4 Argon and GPT-5.6 Luna?

Gemini 4 Argon supports an unknown number of tokens and GPT-5.6 Luna supports 1.1M 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-5.6 Luna?

Key differences include LLM Stats Score (55.4 vs 44.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GPT-5.6 Luna?

Gemini 4 Argon is developed by Google and GPT-5.6 Luna is developed by OpenAI.

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