DeepSeek-V3.2-Speciale vs MiniMax M1 80K Comparison

Comparing DeepSeek-V3.2-Speciale and MiniMax M1 80K across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.2-Speciale outperforms in 3 benchmarks (AIME 2025, Humanity's Last Exam, SWE-Bench Verified), while MiniMax M1 80K is better at 0 benchmarks.

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Speciale costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 2.0x cheaper than MiniMax M1 80K ($0.55/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 5.2x cheaper than MiniMax M1 80K ($2.20/1M tokens).

In conclusion, MiniMax M1 80K is more expensive than DeepSeek-V3.2-Speciale.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Sat Mar 14 2026 • llm-stats.com

DeepSeek-V3.2-Speciale

Input tokens$0.28

Output tokens$0.42

Best providerDeepSeek

MiniMax M1 80K

Input tokens$0.55

Output tokens$2.20

Best providerNovita

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Model Size

Parameter count comparison

229.0B diff

DeepSeek-V3.2-Speciale has 229.0B more parameters than MiniMax M1 80K, making it 50.2% larger.

DeepSeek-V3.2-Speciale

685.0Bparameters

MiniMax M1 80K

456.0Bparameters

685.0B

DeepSeek-V3.2-Speciale

456.0B

MiniMax M1 80K

Context Window

Maximum input and output token capacity

MiniMax M1 80K accepts 1,000,000 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

DeepSeek-V3.2-Speciale

Input131,072 tokens

Output131,072 tokens

MiniMax M1 80K

Input1,000,000 tokens

Output40,000 tokens

Sat Mar 14 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-V3.2-Speciale

MIT

Open weights

MiniMax M1 80K

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while MiniMax M1 80K was released on 2025-06-16.

DeepSeek-V3.2-Speciale is 6 months newer than MiniMax M1 80K.

DeepSeek-V3.2-Speciale

Dec 1, 2025

3 months ago

5mo newer

MiniMax M1 80K

Jun 16, 2025

9 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

Provider Availability

DeepSeek-V3.2-Speciale is available from DeepSeek. MiniMax M1 80K is available from Novita. The availability of providers can affect quality of the model and reliability.