Model Comparison
MiniMax M2 vs Nova ProWhich is better in 2026?
MiniMax M2 significantly outperforms across most benchmarks. MiniMax M2 is 2.7x cheaper per token.
Verdict: MiniMax M2 vs Nova Pro — which is better?
MiniMax M2 (by MiniMax) and Nova Pro (by Amazon) 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.
MiniMax M2 outperforms in 1 benchmarks (GPQA), while Nova Pro is better at 0 benchmarks. MiniMax M2 significantly outperforms across most benchmarks.
On price, MiniMax M2 is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M2 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose MiniMax M2 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 2.7x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2025
- you need open weights you can self-host or fine-tune
Choose Nova Pro if…
- you want predictable pricing at $0.80/M input and $3.20/M output
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M2 outperforms in 1 benchmarks (GPQA), while Nova Pro is better at 0 benchmarks.
MiniMax M2 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M2 ($0.30/1M tokens) is 2.7x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, MiniMax M2 ($1.20/1M tokens) is 2.7x cheaper than Nova Pro ($3.20/1M tokens).
In conclusion, Nova Pro is more expensive than MiniMax M2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiniMax M2 accepts 1,000,000 input tokens compared to Nova Pro's 300,000 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while Nova Pro is limited to 300,000 tokens.
Input Capabilities
Supported data types and modalities
Nova Pro supports multimodal inputs, whereas MiniMax M2 does not.
Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2
Nova Pro
License
Usage and distribution terms
MiniMax M2 is licensed under MIT, while Nova Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiniMax M2 was released on 2025-10-27, while Nova Pro was released on 2024-11-20.
MiniMax M2 is 11 months newer than Nova Pro.
Oct 27, 2025
7 months ago
11mo newerNov 20, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiniMax M2 is available from MiniMax, Novita. Nova Pro is available from Bedrock.
MiniMax M2
Nova Pro
Outputs Comparison
Key Takeaways
MiniMax M2
View detailsMiniMax
Nova Pro
View detailsAmazon
Detailed Comparison
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FAQ
Common questions about MiniMax M2 vs Nova Pro.