Model Comparison

DeepSeek-R1-0528 vs MiniMax M1 80K

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is 1.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

DeepSeek-R1-0528 outperforms in 7 benchmarks (AIME 2024, AIME 2025, GPQA, Humanity's Last Exam, LiveCodeBench, MMLU-Pro, SimpleQA), while MiniMax M1 80K is better at 1 benchmark (SWE-Bench Verified).

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Thu Jun 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-R1-0528 costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 1.1x cheaper than MiniMax M1 80K ($0.55/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 1.0x cheaper than MiniMax M1 80K ($2.20/1M tokens).

In conclusion, MiniMax M1 80K is more expensive than DeepSeek-R1-0528.*

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

Lowest available price from all providers
Thu Jun 04 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

215.0B diff

DeepSeek-R1-0528 has 215.0B more parameters than MiniMax M1 80K, making it 47.1% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
MiniMax
MiniMax M1 80K
456.0Bparameters
671.0B
DeepSeek-R1-0528
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-R1-0528's 131,072 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Thu Jun 04 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-R1-0528

MIT

Open weights

MiniMax M1 80K

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while MiniMax M1 80K was released on 2025-06-16.

MiniMax M1 80K is 1 month newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

1.0 years ago

MiniMax M1 80K

Jun 16, 2025

11 months ago

2w 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

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. MiniMax M1 80K is available from Novita.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

MiniMax M1 80K

novita logo
Novita
Input Price:Input: $0.55/1MOutput Price:Output: $2.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (91.4% vs 86.0%)
Higher AIME 2025 score (87.5% vs 76.9%)
Higher GPQA score (81.0% vs 70.0%)
Higher Humanity's Last Exam score (17.7% vs 8.4%)
Higher LiveCodeBench score (73.3% vs 65.0%)
Higher MMLU-Pro score (85.0% vs 81.1%)
Higher SimpleQA score (92.3% vs 18.5%)
MiniMax
Larger context window (1,000,000 tokens)
Higher SWE-Bench Verified score (56.0% vs 44.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
MiniMax
MiniMax M1 80K

FAQ

Common questions about DeepSeek-R1-0528 vs MiniMax M1 80K.

Which is better, DeepSeek-R1-0528 or MiniMax M1 80K?

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and MiniMax M1 80K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-R1-0528 compare to MiniMax M1 80K in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.

Is DeepSeek-R1-0528 cheaper than MiniMax M1 80K?

DeepSeek-R1-0528 is 1.1x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita.

What are the context window sizes for DeepSeek-R1-0528 and MiniMax M1 80K?

DeepSeek-R1-0528 supports 131K tokens and MiniMax M1 80K supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1-0528 and MiniMax M1 80K?

Key differences include context window (131K vs 1.0M), input pricing ($0.50 vs $0.55/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and MiniMax M1 80K?

DeepSeek-R1-0528 is developed by DeepSeek and MiniMax M1 80K is developed by MiniMax.