Model Comparison

DeepSeek-V3 vs MiniMax M1 80K

MiniMax M1 80K significantly outperforms across most benchmarks. DeepSeek-V3 is 2.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

DeepSeek-V3 outperforms in 1 benchmarks (SimpleQA), while MiniMax M1 80K is better at 7 benchmarks (AIME 2024, GPQA, LiveCodeBench, LongBench v2, MATH-500, MMLU-Pro, SWE-Bench Verified).

MiniMax M1 80K significantly outperforms across most benchmarks.

Tue Jun 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 2.0x cheaper than MiniMax M1 80K ($0.55/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.0x cheaper than MiniMax M1 80K ($2.20/1M tokens).

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

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

Lowest available price from all providers
Tue Jun 02 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
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-V3 has 215.0B more parameters than MiniMax M1 80K, making it 47.1% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
MiniMax
MiniMax M1 80K
456.0Bparameters
671.0B
DeepSeek-V3
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's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Tue Jun 02 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while MiniMax M1 80K uses MIT.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

MiniMax M1 80K

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while MiniMax M1 80K was released on 2025-06-16.

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

DeepSeek-V3

Dec 25, 2024

1.4 years ago

MiniMax M1 80K

Jun 16, 2025

11 months ago

5mo 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-V3 is available from DeepSeek. MiniMax M1 80K is available from Novita.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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 SimpleQA score (24.9% vs 18.5%)
MiniMax
Larger context window (1,000,000 tokens)
Higher AIME 2024 score (86.0% vs 39.2%)
Higher GPQA score (70.0% vs 59.1%)
Higher LiveCodeBench score (65.0% vs 37.6%)
Higher LongBench v2 score (61.5% vs 48.7%)
Higher MATH-500 score (96.8% vs 90.2%)
Higher MMLU-Pro score (81.1% vs 75.9%)
Higher SWE-Bench Verified score (56.0% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
MiniMax
MiniMax M1 80K

FAQ

Common questions about DeepSeek-V3 vs MiniMax M1 80K.

Which is better, DeepSeek-V3 or MiniMax M1 80K?

MiniMax M1 80K significantly outperforms across most benchmarks. DeepSeek-V3 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-V3 compare to MiniMax M1 80K in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. 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-V3 cheaper than MiniMax M1 80K?

DeepSeek-V3 is 2.0x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita.

What are the context window sizes for DeepSeek-V3 and MiniMax M1 80K?

DeepSeek-V3 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-V3 and MiniMax M1 80K?

Key differences include context window (131K vs 1.0M), input pricing ($0.27 vs $0.55/M), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and MiniMax M1 80K?

DeepSeek-V3 is developed by DeepSeek and MiniMax M1 80K is developed by MiniMax.