DiffusionGemma 26B-A4B vs GPT-6 Astra
GPT-6 Astra leads the LLM Stats Score 59.9 to 19.4.
Google · OpenAI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 59.9 to 19.4, 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 DiffusionGemma 26B-A4B
- you need open weights you can self-host or fine-tune
Choose GPT-6 Astra
- overall performance matters — it scores 59.9 and ranks #1 on LLM Stats
- your work emphasizes reasoning and agents — 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for DiffusionGemma 26B-A4B · 22 for GPT-6 Astra
DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (GPQA).
GPT-6 Astra significantly outperforms across most benchmarks.
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).
Input capabilities
Documented input modalities across available providers
Both DiffusionGemma 26B-A4B and GPT-6 Astra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DiffusionGemma 26B-A4B
GPT-6 Astra
License
Usage and distribution terms
DiffusionGemma 26B-A4B is licensed under Apache 2.0, while GPT-6 Astra uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DiffusionGemma 26B-A4B was released on 2026-06-10, while GPT-6 Astra was released on 2026-09-04.
GPT-6 Astra is 3 months newer than DiffusionGemma 26B-A4B.
Jun 10, 2026
3 months ago
Sep 4, 2026
6 days ago
2mo newerKnowledge Cutoff
When training data ends
DiffusionGemma 26B-A4B has a knowledge cutoff of 2025-01-01, while GPT-6 Astra has a cutoff of 2026-04-30.
GPT-6 Astra has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to DiffusionGemma 26B-A4B (2025-01-01).
Jan 2025
Apr 2026
1.3 yr newerOutputs Comparison
Judge for yourself.
Run your own prompts against DiffusionGemma 26B-A4B and GPT-6 Astra side-by-side, then vote on the output you prefer.
FAQ
Common questions about DiffusionGemma 26B-A4B vs GPT-6 Astra.