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DeepSeek-V4-Pro-0813 vs MiniMax M1 40K

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

DeepSeek · MiniMax · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while MiniMax M1 40K is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

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

Choose DeepSeek-V4-Pro-0813

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Choose MiniMax M1 40K

  • you are already invested in the MiniMax ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
MiniMax M1 40K
MiniMax
Benchmark wins
1 of 1
0 of 1
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Jun 2025
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while MiniMax M1 40K is better at 0 benchmarks.

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1144.0B diff

DeepSeek-V4-Pro-0813 has 1144.0B more parameters than MiniMax M1 40K, making it 250.9% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
456.0B
MiniMax M1 40K

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
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V4-Pro-0813

MIT

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while MiniMax M1 40K was released on 2025-06-16.

DeepSeek-V4-Pro-0813 is 14 months newer than MiniMax M1 40K.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1.2yr newer
MiniMax M1 40K

Jun 16, 2025

1.2 years 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 MiniMax M1 40K side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
MiniMax M1 40K
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs MiniMax M1 40K.

Which is better, DeepSeek-V4-Pro-0813 or MiniMax M1 40K?

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. DeepSeek-V4-Pro-0813 is made by DeepSeek and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V4-Pro-0813 compare to MiniMax M1 40K 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%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and MiniMax M1 40K?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and MiniMax M1 40K supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes DeepSeek-V4-Pro-0813 and MiniMax M1 40K?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and MiniMax M1 40K is developed by MiniMax.

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