GPT-4.1 vs MiniMax M1 80K
GPT-4.1 and MiniMax M1 80K are closely matched at 18.0 and 21.4 on the LLM Stats Score. MiniMax M1 80K is 3.6x cheaper per token.
OpenAI · MiniMax · Updated for 2026
Which is better?
GPT-4.1 and MiniMax M1 80K are closely matched on the overall LLM Stats Score at 18.0 and 21.4.
In the 10 individual benchmarks reported for both models, MiniMax M1 80K wins 9; this is a narrower head-to-head signal than the composite indexes.
On price, MiniMax M1 80K is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 also accepts a larger context window (1,047,576 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 GPT-4.1
- you process long inputs — it offers a 1,047,576 token context window
Choose MiniMax M1 80K
- you value its reported benchmark strengths — it wins 9 of 10 exact shared results
- cost matters — it's about 3.6x cheaper per token
- you want the most recent training data — it shipped Jun 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
29 reported for GPT-4.1 · 16 for MiniMax M1 80K
GPT-4.1 outperforms in 1 benchmarks (TAU-bench Retail), while MiniMax M1 80K is better at 9 benchmarks (AIME 2024, AIME 2025, GPQA, Humanity's Last Exam, Multi-Challenge, OpenAI-MRCR: 2 needle 128k, OpenAI-MRCR: 2 needle 1M, SWE-Bench Verified, TAU-bench Airline).
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, GPT-4.1 ($2.00/1M tokens) is 3.6x more expensive than MiniMax M1 80K ($0.55/1M tokens).
For output processing, GPT-4.1 ($8.00/1M tokens) is 3.6x more expensive than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, GPT-4.1 is more expensive than MiniMax M1 80K.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 accepts 1,047,576 input tokens compared to MiniMax M1 80K's 1,000,000 tokens. MiniMax M1 80K can generate longer responses up to 40,000 tokens, while GPT-4.1 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4.1 supports multimodal inputs, whereas MiniMax M1 80K does not.
GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1
MiniMax M1 80K
License
Usage and distribution terms
GPT-4.1 is licensed under a proprietary license, while MiniMax M1 80K uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-4.1 was released on 2025-04-14, while MiniMax M1 80K was released on 2025-06-16.
MiniMax M1 80K is 2 months newer than GPT-4.1.
Apr 14, 2025
1.5 years ago
Jun 16, 2025
1.3 years ago
2mo newerKnowledge Cutoff
When training data ends
GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while MiniMax M1 80K's cutoff date is not specified.
We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without MiniMax M1 80K's cutoff date.
Jun 2024
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Provider Availability
GPT-4.1 is available from OpenAI. MiniMax M1 80K is available from Novita.
GPT-4.1
MiniMax M1 80K
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 and MiniMax M1 80K side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 vs MiniMax M1 80K.