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Gemini 4 Argon vs GPT-6 Astra

Gemini 4 Argon and GPT-6 Astra are closely matched at 55.1 and 58.3 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 4 Argon and GPT-6 Astra are closely matched on the overall LLM Stats Score at 55.1 and 58.3.

In the 6 individual benchmarks reported for both models, GPT-6 Astra wins 4; 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

  • you want the most recent training data — it shipped Sep 2026

Choose GPT-6 Astra

  • you value its reported benchmark strengths — it wins 4 of 6 exact shared results

At a glance

The differences that matter most.

Core performance indexes
55.1
#4
58.3
#3
52.4
#7
56.7
#3
44.1
#4
47.8
#3
40.5
#4
44.9
#2
Cost, coverage & limits
Benchmark wins
2 of 6
4 of 6
Input price
— / M
$10.00 / M
Output price
— / M
$50.00 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 4 Argon
GPT-6 Astra
36.8#8
40.4#4
30.6#6
35.2#1
36.9#8
37.6#4
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 22 for GPT-6 Astra

6 shared

Gemini 4 Argon outperforms in 2 benchmarks (AutomationBench, DeepSWE 1.1), while GPT-6 Astra is better at 4 benchmarks (Agents' Last Exam, OSWorld 2.0, Terminal-Bench 4.0, Terminal-Bench-Science 0.1).

GPT-6 Astra shows notably better performance in the majority of benchmarks.

Thu Oct 08 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-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and GPT-6 Astra 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-6 Astra

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-6 Astra

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while GPT-6 Astra was released on 2026-09-04.

Gemini 4 Argon is 1 month newer than GPT-6 Astra.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

3w newer
GPT-6 Astra

Sep 4, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Gemini 4 Argon's cutoff date is not specified.

We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

GPT-6 Astra

Apr 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and GPT-6 Astra side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
GPT-6 Astra
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs GPT-6 Astra.

Which is better, Gemini 4 Argon or GPT-6 Astra?

Gemini 4 Argon and GPT-6 Astra are closely matched on the LLM Stats Score at 55.1 and 58.3. Gemini 4 Argon is made by Google and GPT-6 Astra 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-6 Astra 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-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%.

What are the context window sizes for Gemini 4 Argon and GPT-6 Astra?

Gemini 4 Argon supports an unknown number of tokens and GPT-6 Astra 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-6 Astra?

Key differences include LLM Stats Score (55.1 vs 58.3). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GPT-6 Astra?

Gemini 4 Argon is developed by Google and GPT-6 Astra is developed by OpenAI.