Model Comparison

GPT-5.4 vs MiniMax M2.7

GPT-5.4 significantly outperforms across most benchmarks. MiniMax M2.7 is 10.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-5.4 outperforms in 3 benchmarks (SWE-Bench Pro, Terminal-Bench 2.0, Toolathlon), while MiniMax M2.7 is better at 0 benchmarks.

GPT-5.4 significantly outperforms across most 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-5.4 ($2.50/1M tokens) is 8.3x more expensive than MiniMax M2.7 ($0.30/1M tokens).

For output processing, GPT-5.4 ($15.00/1M tokens) is 12.5x more expensive than MiniMax M2.7 ($1.20/1M tokens).

In conclusion, GPT-5.4 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-5.4
Input tokens$2.50
Output tokens$15.00
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-5.4 accepts 1,000,000 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-5.4 is limited to 128,000 tokens.

OpenAI
GPT-5.4
Input1,000,000 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-5.4 supports multimodal inputs, whereas MiniMax M2.7 does not.

GPT-5.4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.4

Text
Images
Audio
Video

MiniMax M2.7

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.4 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-5.4

Proprietary

Closed source

MiniMax M2.7

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while MiniMax M2.7 was released on 2026-03-18.

MiniMax M2.7 is 0 month newer than GPT-5.4.

GPT-5.4

Mar 5, 2026

1 months ago

MiniMax M2.7

Mar 18, 2026

3 weeks ago

1w newer

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

GPT-5.4 is available from OpenAI. MiniMax M2.7 is available from MiniMax.

GPT-5.4

openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

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

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Key Takeaways

OpenAI
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher SWE-Bench Pro score (57.7% vs 56.2%)
Higher Terminal-Bench 2.0 score (75.1% vs 57.0%)
Higher Toolathlon score (54.6% vs 46.3%)
MiniMax
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
MiniMax
MiniMax M2.7

FAQ

Common questions about GPT-5.4 vs MiniMax M2.7

GPT-5.4 significantly outperforms across most benchmarks. GPT-5.4 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-5.4 scores Tau2 Telecom: 98.9%, ARC-AGI: 93.7%, Graphwalks BFS <128k: 93.0%, GPQA: 92.8%, Graphwalks parents <128k: 89.8%. 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 8.3x cheaper for input tokens. GPT-5.4 costs $2.50/M input and $15.00/M output via openai. MiniMax M2.7 costs $0.30/M input and $1.20/M output via minimax.
GPT-5.4 supports 1.0M 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 (1.0M vs 205K), input pricing ($2.50 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-5.4 is developed by OpenAI and MiniMax M2.7 is developed by MiniMax.