GPT-6 Astra vs Phi-3.5-MoE-instruct
GPT-6 Astra leads the LLM Stats Score 58.2 to 1.4.
OpenAI · Microsoft · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 58.2 to 1.4, ranking #3 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 GPT-6 Astra
- overall performance matters — it scores 58.2 and ranks #3 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
Choose Phi-3.5-MoE-instruct
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for GPT-6 Astra · 31 for Phi-3.5-MoE-instruct
GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Phi-3.5-MoE-instruct is better at 0 benchmarks.
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
GPT-6 Astra supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.
GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Astra
Phi-3.5-MoE-instruct
License
Usage and distribution terms
GPT-6 Astra is licensed under a proprietary license, while Phi-3.5-MoE-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-6 Astra was released on 2026-09-04, while Phi-3.5-MoE-instruct was released on 2024-08-23.
GPT-6 Astra is 25 months newer than Phi-3.5-MoE-instruct.
Sep 4, 2026
1 months ago
2.0yr newerAug 23, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Phi-3.5-MoE-instruct'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 Phi-3.5-MoE-instruct's cutoff date.
Apr 2026
—
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Phi-3.5-MoE-instruct.