Model Comparison

GPT-5.2 vs MiniMax M2.7

Both models are evenly matched across the benchmarks. MiniMax M2.7 is 9.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.2 outperforms in 0 benchmarks, while MiniMax M2.7 is better at 0 benchmarks.

Both models are evenly matched across the benchmarks.

Fri Apr 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.7 costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 5.8x more expensive than MiniMax M2.7 ($0.30/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 11.7x more expensive than MiniMax M2.7 ($1.20/1M tokens).

In conclusion, GPT-5.2 is more expensive than MiniMax M2.7.*

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

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
MiniMax
MiniMax M2.7
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

GPT-5.2 accepts 400,000 input tokens compared to MiniMax M2.7's 204,800 tokens. MiniMax M2.7 can generate longer responses up to 131,072 tokens, while GPT-5.2 is limited to 128,000 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
MiniMax
MiniMax M2.7
Input204,800 tokens
Output131,072 tokens
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas MiniMax M2.7 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 M2.7

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while MiniMax M2.7 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 M2.7

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while MiniMax M2.7 was released on 2026-03-18.

MiniMax M2.7 is 3 months newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

4 months ago

MiniMax M2.7

Mar 18, 2026

3 weeks ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while MiniMax M2.7'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 M2.7's cutoff date.

GPT-5.2

Aug 2025

MiniMax M2.7

—

Provider Availability

GPT-5.2 is available from OpenAI. MiniMax M2.7 is available from MiniMax.

GPT-5.2

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

MiniMax M2.7

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
MiniMax
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
MiniMax
MiniMax M2.7

FAQ

Common questions about GPT-5.2 vs MiniMax M2.7

Both models are evenly matched across the benchmarks. GPT-5.2 is made by OpenAI and MiniMax M2.7 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 M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%.
MiniMax M2.7 is 5.8x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. MiniMax M2.7 costs $0.30/M input and $1.20/M output via minimax.
GPT-5.2 supports 400K tokens and MiniMax M2.7 supports 205K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 205K), 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 M2.7 is developed by MiniMax.