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DeepSeek-V4-Pro-0813 vs MAI-Thinking-1

Comparing DeepSeek-V4-Pro-0813 and MAI-Thinking-1 across benchmarks, pricing, and capabilities.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and MAI-Thinking-1 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose MAI-Thinking-1

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
Released
Aug 2026
Jun 2026
License
MIT
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and MAI-Thinking-1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

600.0B diff

DeepSeek-V4-Pro-0813 has 600.0B more parameters than MAI-Thinking-1, making it 60.0% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Microsoft
MAI-Thinking-1
1.0Tparameters
1600.0B
DeepSeek-V4-Pro-0813
1000.0B
MAI-Thinking-1

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Microsoft
MAI-Thinking-1
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while MAI-Thinking-1 uses a proprietary license.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

MAI-Thinking-1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while MAI-Thinking-1 was released on 2026-06-02.

DeepSeek-V4-Pro-0813 is 2 months newer than MAI-Thinking-1.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

2mo newer
MAI-Thinking-1

Jun 2, 2026

2 months ago

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 DeepSeek-V4-Pro-0813 and MAI-Thinking-1 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
MAI-Thinking-1
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs MAI-Thinking-1.

Which is better, DeepSeek-V4-Pro-0813 or MAI-Thinking-1?

DeepSeek-V4-Pro-0813 (DeepSeek) and MAI-Thinking-1 (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Pro-0813 compare to MAI-Thinking-1 in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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 DeepSeek-V4-Pro-0813 and MAI-Thinking-1?

DeepSeek-V4-Pro-0813 supports 1.0M 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 DeepSeek-V4-Pro-0813 and MAI-Thinking-1?

Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and MAI-Thinking-1?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and MAI-Thinking-1 is developed by Microsoft.