Model Comparison

GPT-5.2 vs MiniMax M2.1

GPT-5.2 significantly outperforms across most benchmarks. MiniMax M2.1 is 9.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-5.2 outperforms in 7 benchmarks (AIME 2025, BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified, Tau2 Telecom, Toolathlon), while MiniMax M2.1 is better at 0 benchmarks.

GPT-5.2 significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.1 costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 5.8x more expensive than MiniMax M2.1 ($0.30/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 11.7x more expensive than MiniMax M2.1 ($1.20/1M tokens).

In conclusion, GPT-5.2 is more expensive than MiniMax M2.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
MiniMax
MiniMax M2.1
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
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 GPT-5.2's 400,000 tokens. MiniMax M2.1 can generate longer responses up to 1,000,000 tokens, while GPT-5.2 is limited to 128,000 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
MiniMax
MiniMax M2.1
Input1,000,000 tokens
Output1,000,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas MiniMax M2.1 does not.

GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.2

Text
Images
Audio
Video

MiniMax M2.1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while MiniMax M2.1 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.2

Proprietary

Closed source

MiniMax M2.1

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while MiniMax M2.1 was released on 2025-12-23.

MiniMax M2.1 is 0 month newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

4 months ago

MiniMax M2.1

Dec 23, 2025

3 months ago

1w newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while MiniMax M2.1's cutoff date is not specified.

We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without MiniMax M2.1's cutoff date.

GPT-5.2

Aug 2025

MiniMax M2.1

—

Provider Availability

GPT-5.2 is available from OpenAI. MiniMax M2.1 is available from MiniMax.

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

MiniMax M2.1

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Higher AIME 2025 score (100.0% vs 81.0%)
Higher BrowseComp score (65.8% vs 62.0%)
Higher GPQA score (92.4% vs 81.0%)
Higher Humanity's Last Exam score (34.5% vs 22.0%)
Higher SWE-Bench Verified score (80.0% vs 67.0%)
Higher Tau2 Telecom score (98.7% vs 87.0%)
Higher Toolathlon score (46.3% vs 43.5%)
MiniMax
Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
MiniMax
MiniMax M2.1

FAQ

Common questions about GPT-5.2 vs MiniMax M2.1

GPT-5.2 significantly outperforms across most benchmarks. GPT-5.2 is made by OpenAI and MiniMax M2.1 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. MiniMax M2.1 scores VIBE Web: 91.5%, VIBE Android: 89.7%, VIBE: 88.6%, MMLU-Pro: 88.0%, VIBE iOS: 88.0%.
MiniMax M2.1 is 5.8x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. MiniMax M2.1 costs $0.30/M input and $1.20/M output via minimax.
GPT-5.2 supports 400K tokens and MiniMax M2.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 1.0M), input pricing ($1.75 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-5.2 is developed by OpenAI and MiniMax M2.1 is developed by MiniMax.