Model comparison
TeszenAI MTP-1 vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
TeszenAI MTP-1
Not scored
value score
Gemini 2.5 Pro
93
value score
TeszenAI MTP-1 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 | TeszenAI MTP-1 | Gemini 2.5 Pro |
|---|---|---|
| Developer | Unknown | 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 | MTP-1 is a language model published by TeszenAI on Hugging Face that uses a multi-token prediction (MTP) architecture, training the model to predict multiple future tokens per step rather than only the next token. The approach can improve training efficiency and is compatible with speculative-decoding-style inference acceleration. | Google frontier multimodal model. |