Model Comparison

DeepSeek-R1 vs MiniMax M1 40KWhich is better in 2026?

Comparing DeepSeek-R1 and MiniMax M1 40K across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-R1 vs MiniMax M1 40K — which is better?

DeepSeek-R1 (by DeepSeek) and MiniMax M1 40K (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek-R1 if…

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose MiniMax M1 40K if…

  • you want the most recent training data — it shipped Jun 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and MiniMax M1 40Kdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

215.0B diff

DeepSeek-R1 has 215.0B more parameters than MiniMax M1 40K, making it 47.1% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
671.0B
DeepSeek-R1
456.0B
MiniMax M1 40K

Context Window

Maximum input and output token capacity

Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Wed Jun 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-R1

MIT

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while MiniMax M1 40K was released on 2025-06-16.

MiniMax M1 40K is 5 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.4 years ago

MiniMax M1 40K

Jun 16, 2025

1.0 years ago

4mo 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→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
MiniMax

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
MiniMax
MiniMax M1 40K

FAQ

Common questions about DeepSeek-R1 vs MiniMax M1 40K.

Which is better, DeepSeek-R1 or MiniMax M1 40K?

DeepSeek-R1 (DeepSeek) and MiniMax M1 40K (MiniMax) 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-R1 compare to MiniMax M1 40K in benchmarks?

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-R1 and MiniMax M1 40K?

DeepSeek-R1 supports 131K 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-R1 and MiniMax M1 40K?

DeepSeek-R1 is developed by DeepSeek and MiniMax M1 40K is developed by MiniMax.

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