GPT-6 Astra vs MiniMax M1 80K
GPT-6 Astra leads the LLM Stats Score 59.6 to 21.4. MiniMax M1 80K is 20.8x cheaper per token.
OpenAI · MiniMax · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 59.6 to 21.4, ranking #1 overall.
In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiniMax M1 80K is roughly 20.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra also accepts a larger context window (1,050,000 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 GPT-6 Astra
- overall performance matters — it scores 59.6 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose MiniMax M1 80K
- cost matters — it's about 20.8x cheaper per token
- 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
22 reported for GPT-6 Astra · 16 for MiniMax M1 80K
GPT-6 Astra outperforms in 1 benchmarks (GPQA), while MiniMax M1 80K is better at 0 benchmarks.
GPT-6 Astra 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-6 Astra ($10.00/1M tokens) is 18.2x more expensive than MiniMax M1 80K ($0.55/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 22.7x more expensive than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, GPT-6 Astra 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-6 Astra accepts 1,050,000 input tokens compared to MiniMax M1 80K's 1,000,000 tokens. GPT-6 Astra can generate longer responses up to 128,000 tokens, while MiniMax M1 80K is limited to 40,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Astra supports multimodal inputs, whereas MiniMax M1 80K does not.
GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Astra
MiniMax M1 80K
License
Usage and distribution terms
GPT-6 Astra 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-6 Astra was released on 2026-09-04, while MiniMax M1 80K was released on 2025-06-16.
GPT-6 Astra is 15 months newer than MiniMax M1 80K.
Sep 4, 2026
2 weeks ago
1.2yr newerJun 16, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while MiniMax M1 80K's cutoff date is not specified.
We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without MiniMax M1 80K's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. MiniMax M1 80K is available from Novita.
GPT-6 Astra
MiniMax M1 80K
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and MiniMax M1 80K side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs MiniMax M1 80K.