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Gemini Diffusion vs GPT-6 Astra

GPT-6 Astra leads the LLM Stats Score 60.7 to 1.0.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 1.0, ranking #1 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra 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 Diffusion

  • you are already invested in the Google ecosystem

Choose GPT-6 Astra

  • overall performance matters — it scores 60.7 and ranks #1 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

At a glance

The differences that matter most.

Gemini Diffusion
Google
GPT-6 Astra
OpenAI
Core performance indexes
LLM Stats Score
1.0
#311
60.7
#1
Reasoning
1.0
#301
58.7
#1
Coding
3.0
#213
49.0
#1
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$10.00 / M
Output price
— / M
$50.00 / M
Context window
—
1,050,000

Individual benchmarks

10 reported for Gemini Diffusion · 22 for GPT-6 Astra

1 shared

Gemini Diffusion outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (GPQA).

GPT-6 Astra significantly outperforms across most benchmarks.

Fri Sep 04 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 Diffusion
Input- tokens
Output- tokens
OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Gemini Diffusion does not.

GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

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 Diffusion

Proprietary

Closed source

GPT-6 Astra

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while GPT-6 Astra was released on 2026-09-03.

GPT-6 Astra is 16 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

1.3 years ago

GPT-6 Astra

Sep 3, 2026

0 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Gemini Diffusion'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 Diffusion's cutoff date.

Gemini Diffusion

—

GPT-6 Astra

Apr 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

Gemini Diffusion
✓ Preferred
GPT-6 Astra
Open in Playground

FAQ

Common questions about Gemini Diffusion vs GPT-6 Astra.

Which is better, Gemini Diffusion or GPT-6 Astra?

GPT-6 Astra leads the LLM Stats Score 60.7 to 1.0. Gemini Diffusion 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 Diffusion compare to GPT-6 Astra in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. 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 Diffusion and GPT-6 Astra?

Gemini Diffusion 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 Diffusion and GPT-6 Astra?

Key differences include LLM Stats Score (1.0 vs 60.7), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and GPT-6 Astra?

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

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