MiniMax M2.1 vs Nova Pro
MiniMax M2.1 leads the LLM Stats Score 32.0 to 12.4. MiniMax M2.1 is 2.7x cheaper per token.
MiniMax · Amazon · Updated for 2026
Which is better?
MiniMax M2.1 leads the overall LLM Stats Score 32.0 to 12.4, ranking #100 overall.
In the 1 individual benchmarks reported for both models, MiniMax M2.1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiniMax M2.1 is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M2.1 also accepts a larger context window (1,000,000 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 MiniMax M2.1
- overall performance matters — it scores 32.0 and ranks #100 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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 Dec 2025
- you need open weights you can self-host or fine-tune
Choose Nova Pro
- you want predictable pricing at $0.80/M input and $3.20/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
25 reported for MiniMax M2.1 · 27 for Nova Pro
MiniMax M2.1 outperforms in 1 benchmarks (GPQA), while Nova Pro is better at 0 benchmarks.
MiniMax M2.1 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, MiniMax M2.1 ($0.30/1M tokens) is 2.7x cheaper than Nova Pro ($0.80/1M tokens).
For output processing, MiniMax M2.1 ($1.20/1M tokens) is 2.7x cheaper than Nova Pro ($3.20/1M tokens).
In conclusion, Nova Pro is more expensive than MiniMax M2.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiniMax M2.1 accepts 1,000,000 input tokens compared to Nova Pro's 300,000 tokens. MiniMax M2.1 can generate longer responses up to 1,000,000 tokens, while Nova Pro is limited to 300,000 tokens.
Input capabilities
Documented input modalities across available providers
Nova Pro supports multimodal inputs, whereas MiniMax M2.1 does not.
Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2.1
Nova Pro
License
Usage and distribution terms
MiniMax M2.1 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 M2.1 was released on 2025-12-23, while Nova Pro was released on 2024-11-20.
MiniMax M2.1 is 13 months newer than Nova Pro.
Dec 23, 2025
8 months ago
1.1yr newerNov 20, 2024
1.8 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 M2.1 is available from MiniMax. Nova Pro is available from Bedrock.
MiniMax M2.1
Nova Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M2.1 and Nova Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M2.1 vs Nova Pro.