Model Comparison

MiniMax M2.1 vs Nova Pro

MiniMax M2.1 significantly outperforms across most benchmarks. MiniMax M2.1 is 2.7x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

MiniMax M2.1 outperforms in 1 benchmarks (GPQA), while Nova Pro is better at 0 benchmarks.

MiniMax M2.1 significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.1 costs less

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
MiniMax
MiniMax M2.1
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue

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.

MiniMax
MiniMax M2.1
Input1,000,000 tokens
Output1,000,000 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

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.

MiniMax M2.1

MIT

Open weights

Nova Pro

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.

MiniMax M2.1

Dec 23, 2025

3 months ago

1.1yr newer
Nova Pro

Nov 20, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

MiniMax M2.1 is available from MiniMax. Nova Pro is available from Bedrock.

MiniMax M2.1

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (81.0% vs 46.9%)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2.1
Amazon
Nova Pro

FAQ

Common questions about MiniMax M2.1 vs Nova Pro

MiniMax M2.1 significantly outperforms across most benchmarks. MiniMax M2.1 is made by MiniMax and Nova Pro is made by Amazon. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
MiniMax M2.1 scores VIBE Web: 91.5%, VIBE Android: 89.7%, VIBE: 88.6%, MMLU-Pro: 88.0%, VIBE iOS: 88.0%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.
MiniMax M2.1 is 2.7x cheaper for input tokens. MiniMax M2.1 costs $0.30/M input and $1.20/M output via minimax. Nova Pro costs $0.80/M input and $3.20/M output via bedrock.
MiniMax M2.1 supports 1.0M tokens and Nova Pro supports 300K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 300K), input pricing ($0.30 vs $0.80/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
MiniMax M2.1 is developed by MiniMax and Nova Pro is developed by Amazon.