Llama 3.3 70B Instruct vs MiniMax M1 80K
MiniMax M1 80K significantly outperforms across most benchmarks. Llama 3.3 70B Instruct is 4.8x cheaper per token.
Meta · MiniMax · Updated for 2026
Which is better?
Llama 3.3 70B Instruct outperforms in 0 benchmarks, while MiniMax M1 80K is better at 2 benchmarks (GPQA, MMLU-Pro). MiniMax M1 80K significantly outperforms across most benchmarks.
On price, Llama 3.3 70B Instruct is roughly 4.8x 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 benchmark, pricing, and model metadata for 2026.
Choose Llama 3.3 70B Instruct
- cost matters — it's about 4.8x cheaper per token
Choose MiniMax M1 80K
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- 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.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.3 70B Instruct outperforms in 0 benchmarks, while MiniMax M1 80K is better at 2 benchmarks (GPQA, MMLU-Pro).
MiniMax M1 80K significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 2.8x cheaper than MiniMax M1 80K ($0.55/1M tokens).
For output processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 11.0x cheaper than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, MiniMax M1 80K is more expensive than Llama 3.3 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiniMax M1 80K has 386.0B more parameters than Llama 3.3 70B Instruct, making it 551.4% larger.
Context Window
Maximum input and output token capacity
MiniMax M1 80K accepts 1,000,000 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while MiniMax M1 80K is limited to 40,000 tokens.
License
Usage and distribution terms
Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while MiniMax M1 80K uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.3 Community License Agreement
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Llama 3.3 70B Instruct was released on 2024-12-06, while MiniMax M1 80K was released on 2025-06-16.
MiniMax M1 80K is 6 months newer than Llama 3.3 70B Instruct.
Dec 6, 2024
1.7 years ago
Jun 16, 2025
1.2 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. MiniMax M1 80K is available from Novita.
Llama 3.3 70B Instruct
MiniMax M1 80K
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.3 70B Instruct and MiniMax M1 80K side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.3 70B Instruct vs MiniMax M1 80K.