Model comparison
ModernBERT-base vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
ModernBERT-base
Not scored
value score
Gemini 2.5 Pro
93
value score
ModernBERT-base ctx
—
Gemini 2.5 Pro ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Gemini 2.5 Pro93
Attribute tape
| Field | ModernBERT-base | Gemini 2.5 Pro |
|---|---|---|
| Developer | answerdotai | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Text, Code, Image, Audio, Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M out |
| Value score | — | 93 |
| Summary | ModernBERT-base is a modernized encoder-only transformer model from Answer.AI, designed as a drop-in replacement for BERT-style models with substantially improved efficiency, longer context (8192 tokens), and state-of-the-art performance on retrieval and classification tasks. It incorporates architectural advances such as rotary positional embeddings, alternating attention, and flash attention to outperform legacy encoders like BERT and RoBERTa. | Google frontier multimodal model. |