Model Comparison
GPT-5.6 Sol vs MiniMax M1 80KWhich is better in 2026?
GPT-5.6 Sol significantly outperforms across most benchmarks. MiniMax M1 80K is 11.7x cheaper per token.
Verdict: GPT-5.6 Sol vs MiniMax M1 80K — which is better?
GPT-5.6 Sol (by OpenAI) and MiniMax M1 80K (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5.6 Sol outperforms in 1 benchmarks (GPQA), while MiniMax M1 80K is better at 0 benchmarks. GPT-5.6 Sol significantly outperforms across most benchmarks.
On price, MiniMax M1 80K is roughly 11.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.6 Sol if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose MiniMax M1 80K if…
- cost matters — it's about 11.7x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.6 Sol outperforms in 1 benchmarks (GPQA), while MiniMax M1 80K is better at 0 benchmarks.
GPT-5.6 Sol significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 9.1x more expensive than MiniMax M1 80K ($0.55/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 13.6x more expensive than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, GPT-5.6 Sol 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-5.6 Sol accepts 1,050,000 input tokens compared to MiniMax M1 80K's 1,000,000 tokens. GPT-5.6 Sol can generate longer responses up to 128,000 tokens, while MiniMax M1 80K is limited to 40,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.6 Sol supports multimodal inputs, whereas MiniMax M1 80K does not.
GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.6 Sol
MiniMax M1 80K
License
Usage and distribution terms
GPT-5.6 Sol 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-5.6 Sol was released on 2026-07-09, while MiniMax M1 80K was released on 2025-06-16.
GPT-5.6 Sol is 13 months newer than MiniMax M1 80K.
Jul 9, 2026
2 weeks ago
1.1yr newerJun 16, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while MiniMax M1 80K's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without MiniMax M1 80K's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. MiniMax M1 80K is available from Novita.
GPT-5.6 Sol
MiniMax M1 80K
Outputs Comparison
Key Takeaways
GPT-5.6 Sol
View detailsOpenAI
MiniMax M1 80K
View detailsMiniMax
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and MiniMax M1 80K side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.6 Sol vs MiniMax M1 80K.