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GPT-6 Astra vs Phi 4 Mini Reasoning

GPT-6 Astra leads the LLM Stats Score 60.7 to 7.3.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 7.3, 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 GPT-6 Astra

  • overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
  • your work emphasizes reasoning — 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 4 Mini Reasoning

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
60.7
#1
7.3
#278
58.7
#1
7.6
#269
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000

Individual benchmarks

22 reported for GPT-6 Astra · 3 for Phi 4 Mini Reasoning

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Phi 4 Mini Reasoning is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Mon Sep 07 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).

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Phi 4 Mini Reasoning 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

Text
Images
Audio
Video

Phi 4 Mini Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Phi 4 Mini Reasoning uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6 Astra

Proprietary

Closed source

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Phi 4 Mini Reasoning was released on 2025-04-30.

GPT-6 Astra is 16 months newer than Phi 4 Mini Reasoning.

GPT-6 Astra

Sep 4, 2026

2 days ago

1.3yr newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a knowledge cutoff of 2026-04-30, while Phi 4 Mini Reasoning has a cutoff of 2025-02-01.

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 Mini Reasoning (2025-02-01).

GPT-6 Astra

Apr 2026

1.2 yr newer
Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

GPT-6 Astra
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Phi 4 Mini Reasoning.

Which is better, GPT-6 Astra or Phi 4 Mini Reasoning?

GPT-6 Astra leads the LLM Stats Score 60.7 to 7.3. GPT-6 Astra is made by OpenAI and Phi 4 Mini Reasoning is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Astra compare to Phi 4 Mini Reasoning in benchmarks?

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%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for GPT-6 Astra and Phi 4 Mini Reasoning?

GPT-6 Astra supports 1.1M tokens and Phi 4 Mini Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6 Astra and Phi 4 Mini Reasoning?

Key differences include LLM Stats Score (60.7 vs 7.3), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Phi 4 Mini Reasoning?

GPT-6 Astra is developed by OpenAI and Phi 4 Mini Reasoning is developed by Microsoft.