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MAI-Thinking-1 vs Parse

Comparing MAI-Thinking-1 and Parse across benchmarks, pricing, and capabilities.

Microsoft · Cohere · Updated for 2026

Which is better?

MAI-Thinking-1 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MAI-Thinking-1

  • you are already invested in the Microsoft ecosystem

Choose Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
8,192

Individual benchmarks

23 reported for MAI-Thinking-1 · 1 for Parse

No common benchmarks found

MAI-Thinking-1 and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

997.7B diff

MAI-Thinking-1 has 997.7B more parameters than Parse, making it 43378.3% larger.

Microsoft
MAI-Thinking-1
1.0Tparameters
Cohere
Parse
2.3Bparameters
1000.0B
MAI-Thinking-1
2.3B
Parse

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas MAI-Thinking-1 does not.

Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.

MAI-Thinking-1

Text
Images
Audio
Video

Parse

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.

MAI-Thinking-1

Proprietary

Closed source

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

MAI-Thinking-1 was released on 2026-06-02, while Parse was released on 2026-08-27.

Parse is 3 months newer than MAI-Thinking-1.

MAI-Thinking-1

Jun 2, 2026

3 months ago

Parse

Aug 27, 2026

1 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

MAI-Thinking-1
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about MAI-Thinking-1 vs Parse.

Which is better, MAI-Thinking-1 or Parse?

MAI-Thinking-1 (Microsoft) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MAI-Thinking-1 compare to Parse in benchmarks?

MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%. Parse scores ParseBench: 79.2%.

What are the context window sizes for MAI-Thinking-1 and Parse?

MAI-Thinking-1 supports an unknown number of tokens and Parse supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MAI-Thinking-1 and Parse?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes MAI-Thinking-1 and Parse?

MAI-Thinking-1 is developed by Microsoft and Parse is developed by Cohere.