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GPT-6 Astra vs Phi 4 Reasoning

GPT-6 Astra leads the LLM Stats Score 60.7 to 12.3.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 12.3, 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 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 4 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
12.3
#242
58.7
#1
12.8
#230
49.0
#1
6.5
#182
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

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Astra
Phi 4 Reasoning
35.3#42
13.9#215
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 11 for Phi 4 Reasoning

1 shared

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

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).

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Phi 4 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 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-03, while Phi 4 Reasoning was released on 2025-04-30.

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

GPT-6 Astra

Sep 3, 2026

0 days ago

1.3yr newer
Phi 4 Reasoning

Apr 30, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a knowledge cutoff of 2026-04-30, while Phi 4 Reasoning has a cutoff of 2025-03-01.

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 Reasoning (2025-03-01).

GPT-6 Astra

Apr 2026

1.1 yr newer
Phi 4 Reasoning

Mar 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 Reasoning side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-6 Astra leads the LLM Stats Score 60.7 to 12.3. GPT-6 Astra is made by OpenAI and Phi 4 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 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 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

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

GPT-6 Astra supports 1.1M tokens and Phi 4 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 Reasoning?

Key differences include LLM Stats Score (60.7 vs 12.3), 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 Reasoning?

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