DeepSeek R1 Distill Qwen 32B vs MiniMax M1 80K
DeepSeek R1 Distill Qwen 32B and MiniMax M1 80K are closely matched at 13.1 and 21.4 on the LLM Stats Score. DeepSeek R1 Distill Qwen 32B is 7.1x cheaper per token.
DeepSeek · MiniMax · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B and MiniMax M1 80K are closely matched on the overall LLM Stats Score at 13.1 and 21.4.
In the 4 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 R1 Distill Qwen 32B is roughly 7.1x 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 R1 Distill Qwen 32B
- cost matters — it's about 7.1x cheaper per token
Choose MiniMax M1 80K
- you value its reported benchmark strengths — it wins 4 of 4 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
4 reported for DeepSeek R1 Distill Qwen 32B · 16 for MiniMax M1 80K
DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, 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 R1 Distill Qwen 32B ($0.12/1M tokens) is 4.6x cheaper than MiniMax M1 80K ($0.55/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 12.2x cheaper than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, MiniMax M1 80K is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiniMax M1 80K has 423.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 1290.2% larger.
Context Window
Maximum input and output token capacity
MiniMax M1 80K accepts 1,000,000 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while MiniMax M1 80K is limited to 40,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while MiniMax M1 80K was released on 2025-06-16.
MiniMax M1 80K is 5 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.7 years ago
Jun 16, 2025
1.3 years ago
4mo 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 R1 Distill Qwen 32B is available from DeepInfra. MiniMax M1 80K is available from Novita.
DeepSeek R1 Distill Qwen 32B
MiniMax M1 80K
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and MiniMax M1 80K side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs MiniMax M1 80K.