Model Comparison

DeepSeek-V3 0324 vs MiniMax M1 40KWhich is better in 2026?

MiniMax M1 40K significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3 0324 vs MiniMax M1 40K — which is better?

DeepSeek-V3 0324 (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.

DeepSeek-V3 0324 outperforms in 1 benchmarks (MMLU-Pro), while MiniMax M1 40K is better at 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500). MiniMax M1 40K significantly outperforms across most benchmarks.

Choose DeepSeek-V3 0324 if…

  • you want predictable pricing at $0.28/M input and $1.14/M output

Choose MiniMax M1 40K if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025
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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 0324 outperforms in 1 benchmarks (MMLU-Pro), while MiniMax M1 40K is better at 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500).

MiniMax M1 40K significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

215.0B diff

DeepSeek-V3 0324 has 215.0B more parameters than MiniMax M1 40K, making it 47.1% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
671.0B
DeepSeek-V3 0324
456.0B
MiniMax M1 40K

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while MiniMax M1 40K uses MIT.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while MiniMax M1 40K was released on 2025-06-16.

MiniMax M1 40K is 3 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

MiniMax M1 40K

Jun 16, 2025

12 months 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→

Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher MMLU-Pro score (81.2% vs 80.6%)
MiniMax
Higher AIME 2024 score (83.3% vs 59.4%)
Higher GPQA score (69.2% vs 68.4%)
Higher LiveCodeBench score (62.3% vs 49.2%)
Higher MATH-500 score (96.0% vs 94.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
MiniMax
MiniMax M1 40K

FAQ

Common questions about DeepSeek-V3 0324 vs MiniMax M1 40K.

Which is better, DeepSeek-V3 0324 or MiniMax M1 40K?

MiniMax M1 40K significantly outperforms across most benchmarks. DeepSeek-V3 0324 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-V3 0324 compare to MiniMax M1 40K in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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-V3 0324 and MiniMax M1 40K?

DeepSeek-V3 0324 supports 164K 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.

What are the main differences between DeepSeek-V3 0324 and MiniMax M1 40K?

Key differences include licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and MiniMax M1 40K?

DeepSeek-V3 0324 is developed by DeepSeek and MiniMax M1 40K is developed by MiniMax.

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