Model Comparison

ERNIE 5.0 vs MiniMax M1 80K

ERNIE 5.0 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

ERNIE 5.0 outperforms in 5 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, MMLU-Pro, SimpleQA), while MiniMax M1 80K is better at 0 benchmarks.

ERNIE 5.0 significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Baidu
ERNIE 5.0
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only MiniMax M1 80K specifies input context (1,000,000 tokens). Only MiniMax M1 80K specifies output context (40,000 tokens).

Baidu
ERNIE 5.0
Input- tokens
Output- tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

ERNIE 5.0 supports multimodal inputs, whereas MiniMax M1 80K does not.

ERNIE 5.0 can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 5.0

Text
Images
Audio
Video

MiniMax M1 80K

Text
Images
Audio
Video

License

Usage and distribution terms

ERNIE 5.0 is licensed under a proprietary license, while MiniMax M1 80K uses MIT.

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

ERNIE 5.0

Proprietary

Closed source

MiniMax M1 80K

MIT

Open weights

Release Timeline

When each model was launched

ERNIE 5.0 was released on 2025-01-22, while MiniMax M1 80K was released on 2025-06-16.

MiniMax M1 80K is 5 months newer than ERNIE 5.0.

ERNIE 5.0

Jan 22, 2025

1.2 years ago

MiniMax M1 80K

Jun 16, 2025

10 months ago

4mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Baidu
Supports multimodal inputs
Higher AIME 2025 score (87.0% vs 76.9%)
Higher GPQA score (85.0% vs 70.0%)
Higher Humanity's Last Exam score (39.0% vs 8.4%)
Higher MMLU-Pro score (87.0% vs 81.1%)
Higher SimpleQA score (75.0% vs 18.5%)
MiniMax
Larger context window (1,000,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 5.0
MiniMax
MiniMax M1 80K

FAQ

Common questions about ERNIE 5.0 vs MiniMax M1 80K

ERNIE 5.0 significantly outperforms across most benchmarks. ERNIE 5.0 is made by Baidu and MiniMax M1 80K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
ERNIE 5.0 scores AIME 2025: 87.0%, MMLU-Pro: 87.0%, GPQA: 85.0%, SimpleQA: 75.0%, Humanity's Last Exam: 39.0%. MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.
ERNIE 5.0 supports an unknown number of tokens and MiniMax M1 80K supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
ERNIE 5.0 is developed by Baidu and MiniMax M1 80K is developed by MiniMax.