GPT-6 Astra vs Phi 4
GPT-6 Astra leads the LLM Stats Score 60.7 to 5.6. Phi 4 is 228.6x cheaper per token.
OpenAI · Microsoft · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.7 to 5.6, 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.
On price, Phi 4 is roughly 228.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
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 process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Phi 4
- cost matters — it's about 228.6x cheaper per token
- 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 · 13 for Phi 4
GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Phi 4 is better at 0 benchmarks.
GPT-6 Astra significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Astra ($10.00/1M tokens) is 142.9x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 357.1x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to Phi 4's 16,000 tokens. GPT-6 Astra can generate longer responses up to 128,000 tokens, while Phi 4 is limited to 16,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Astra supports multimodal inputs, whereas Phi 4 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 4
License
Usage and distribution terms
GPT-6 Astra is licensed under a proprietary license, while Phi 4 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 2026-09-03, while Phi 4 was released on 2024-12-12.
GPT-6 Astra is 21 months newer than Phi 4.
Sep 3, 2026
0 days ago
1.7yr newerDec 12, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a knowledge cutoff of 2026-04-30, while Phi 4 has a cutoff of 2024-06-01.
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 Phi 4 (2024-06-01).
Apr 2026
1.8 yr newerJun 2024
Provider Availability
GPT-6 Astra is available from OpenAI. Phi 4 is available from DeepInfra.
GPT-6 Astra
Phi 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Phi 4.