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GPT-5.6 Terra vs MAI-Thinking-1

GPT-5.6 Terra leads the LLM Stats Score 50.8 to 33.0.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-5.6 Terra leads the overall LLM Stats Score 50.8 to 33.0, ranking #15 overall.

In the 3 individual benchmarks reported for both models, GPT-5.6 Terra wins 3; 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-5.6 Terra

  • overall performance matters — it scores 50.8 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Jul 2026

Choose MAI-Thinking-1

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Core performance indexes
50.8
#15
33.0
#101
49.2
#15
33.8
#92
42.2
#8
19.4
#104
38.2
#10
12.8
#97
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$2.00 / M
— / M
Output price
$12.00 / M
— / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-5.6 Terra
MAI-Thinking-1
32.4#59
33.7#53
30.2#19
10.7#119
26.0#13
20.4#30
9.4#147
29.2#29
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Terra · 23 for MAI-Thinking-1

3 shared

GPT-5.6 Terra outperforms in 3 benchmarks (GPQA, HealthBench Professional, SWE-Bench Pro), while MAI-Thinking-1 is better at 0 benchmarks.

GPT-5.6 Terra significantly outperforms across most benchmarks.

Mon Sep 14 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-5.6 Terra specifies input context (1,050,000 tokens). Only GPT-5.6 Terra specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Terra
Input1,050,000 tokens
Output128,000 tokens
Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.6 Terra supports multimodal inputs, whereas MAI-Thinking-1 does not.

GPT-5.6 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Terra

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-5.6 Terra

Proprietary

Closed source

MAI-Thinking-1

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Terra was released on 2026-07-09, while MAI-Thinking-1 was released on 2026-06-02.

GPT-5.6 Terra is 1 month newer than MAI-Thinking-1.

GPT-5.6 Terra

Jul 9, 2026

2 months ago

1mo newer
MAI-Thinking-1

Jun 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while MAI-Thinking-1's cutoff date is not specified.

We can confirm GPT-5.6 Terra's training data extends to 2026-02-16, but cannot make a direct comparison without MAI-Thinking-1's cutoff date.

GPT-5.6 Terra

Feb 2026

MAI-Thinking-1

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.6 Terra and MAI-Thinking-1 side-by-side, then vote on the output you prefer.

GPT-5.6 Terra
✓ Preferred
MAI-Thinking-1
Open in Playground

FAQ

Common questions about GPT-5.6 Terra vs MAI-Thinking-1.

Which is better, GPT-5.6 Terra or MAI-Thinking-1?

GPT-5.6 Terra leads the LLM Stats Score 50.8 to 33.0. GPT-5.6 Terra 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-5.6 Terra compare to MAI-Thinking-1 in benchmarks?

GPT-5.6 Terra scores Connectors: 100.0%, HealthBench Consensus: 95.1%, Search and Function-Calling: 94.6%, GPQA: 92.9%, Capture-the-Flag Challenges (Internal): 91.8%. 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-5.6 Terra and MAI-Thinking-1?

GPT-5.6 Terra 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-5.6 Terra and MAI-Thinking-1?

Key differences include LLM Stats Score (50.8 vs 33.0), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Terra and MAI-Thinking-1?

GPT-5.6 Terra is developed by OpenAI and MAI-Thinking-1 is developed by Microsoft.