DeepSeek-V3 0324 vs MiniMax M1 80K
DeepSeek-V3 0324 and MiniMax M1 80K are closely matched at 13.4 and 21.4 on the LLM Stats Score. DeepSeek-V3 0324 is 2.4x cheaper per token.
DeepSeek · MiniMax · Updated for 2026
Which is better?
DeepSeek-V3 0324 and MiniMax M1 80K are closely matched on the overall LLM Stats Score at 13.4 and 21.4.
In the 5 individual benchmarks reported for both models, MiniMax M1 80K wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V3 0324 is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M1 80K also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V3 0324
- cost matters — it's about 2.4x cheaper per token
Choose MiniMax M1 80K
- you value its reported benchmark strengths — it wins 4 of 5 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Jun 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for DeepSeek-V3 0324 · 16 for MiniMax M1 80K
DeepSeek-V3 0324 outperforms in 1 benchmarks (MMLU-Pro), while MiniMax M1 80K is better at 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500).
MiniMax M1 80K significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 0324 ($0.24/1M tokens) is 2.3x cheaper than MiniMax M1 80K ($0.55/1M tokens).
For output processing, DeepSeek-V3 0324 ($0.90/1M tokens) is 2.4x cheaper than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, MiniMax M1 80K is more expensive than DeepSeek-V3 0324.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 215.0B more parameters than MiniMax M1 80K, making it 47.1% larger.
Context Window
Maximum input and output token capacity
MiniMax M1 80K accepts 1,000,000 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while MiniMax M1 80K is limited to 40,000 tokens.
License
Usage and distribution terms
DeepSeek-V3 0324 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.
MIT + Model License (Commercial use allowed)
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while MiniMax M1 80K was released on 2025-06-16.
MiniMax M1 80K is 3 months newer than DeepSeek-V3 0324.
Mar 25, 2025
1.5 years ago
Jun 16, 2025
1.3 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3 0324 is available from DeepInfra, Novita. MiniMax M1 80K is available from Novita.
DeepSeek-V3 0324
MiniMax M1 80K
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 0324 and MiniMax M1 80K side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 0324 vs MiniMax M1 80K.