The AI arena is free today

Open Superagent

GPT-6 Astra vs MAI-Thinking-1

GPT-6 Astra leads the LLM Stats Score 60.7 to 32.9.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 32.9, ranking #1 overall.

In the 2 individual benchmarks reported for both models, GPT-6 Astra wins 2; 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 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose MAI-Thinking-1

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Core performance indexes
60.7
#1
32.9
#96
58.7
#1
33.7
#87
49.0
#1
19.3
#100
46.4
#1
12.4
#94
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
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

2 shared
Index
GPT-6 Astra
MAI-Thinking-1
35.3#42
34.0#49
36.6#1
10.2#121
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 23 for MAI-Thinking-1

2 shared

GPT-6 Astra outperforms in 2 benchmarks (GPQA, HealthBench Professional), while MAI-Thinking-1 is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Sat Sep 05 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
MAI-Thinking-1
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas MAI-Thinking-1 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

MAI-Thinking-1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-6 Astra

Proprietary

Closed source

MAI-Thinking-1

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while MAI-Thinking-1 was released on 2026-06-02.

GPT-6 Astra is 3 months newer than MAI-Thinking-1.

GPT-6 Astra

Sep 4, 2026

1 days ago

3mo newer
MAI-Thinking-1

Jun 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while MAI-Thinking-1'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 MAI-Thinking-1's cutoff date.

GPT-6 Astra

Apr 2026

MAI-Thinking-1

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-6 Astra and MAI-Thinking-1 side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
MAI-Thinking-1
Open in Playground

FAQ

Common questions about GPT-6 Astra vs MAI-Thinking-1.

Which is better, GPT-6 Astra or MAI-Thinking-1?

GPT-6 Astra leads the LLM Stats Score 60.7 to 32.9. GPT-6 Astra is made by OpenAI and MAI-Thinking-1 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 MAI-Thinking-1 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%. MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%.

What are the context window sizes for GPT-6 Astra and MAI-Thinking-1?

GPT-6 Astra supports 1.1M tokens and MAI-Thinking-1 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 MAI-Thinking-1?

Key differences include LLM Stats Score (60.7 vs 32.9), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and MAI-Thinking-1?

GPT-6 Astra is developed by OpenAI and MAI-Thinking-1 is developed by Microsoft.