Model Comparison
GPT-5.6 Terra vs MiniMax M1 80KWhich is better in 2026?
GPT-5.6 Terra significantly outperforms across most benchmarks. MiniMax M1 80K is 5.8x cheaper per token.
Verdict: GPT-5.6 Terra vs MiniMax M1 80K — which is better?
GPT-5.6 Terra (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 Terra outperforms in 1 benchmarks (GPQA), while MiniMax M1 80K is better at 0 benchmarks. GPT-5.6 Terra significantly outperforms across most benchmarks.
On price, MiniMax M1 80K is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Terra 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 Terra 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 5.8x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.6 Terra outperforms in 1 benchmarks (GPQA), while MiniMax M1 80K is better at 0 benchmarks.
GPT-5.6 Terra significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Terra ($2.50/1M tokens) is 4.5x more expensive than MiniMax M1 80K ($0.55/1M tokens).
For output processing, GPT-5.6 Terra ($15.00/1M tokens) is 6.8x more expensive than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, GPT-5.6 Terra 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 Terra accepts 1,050,000 input tokens compared to MiniMax M1 80K's 1,000,000 tokens. GPT-5.6 Terra 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 Terra supports multimodal inputs, whereas MiniMax M1 80K does not.
GPT-5.6 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.6 Terra
MiniMax M1 80K
License
Usage and distribution terms
GPT-5.6 Terra 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 Terra was released on 2026-07-09, while MiniMax M1 80K was released on 2025-06-16.
GPT-5.6 Terra 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 Terra 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 Terra'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 Terra is available from OpenAI. MiniMax M1 80K is available from Novita.
GPT-5.6 Terra
MiniMax M1 80K
Outputs Comparison
Key Takeaways
MiniMax M1 80K
View detailsMiniMax
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.6 Terra 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 Terra vs MiniMax M1 80K.