Model comparison
Tensor-15B vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
Tensor-15B
Not scored
value score
Gemini 2.5 Pro
93
value score
Tensor-15B 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 | Tensor-15B | Gemini 2.5 Pro |
|---|---|---|
| Developer | Axon Labs AI | 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 | Tensor-15B is an open-weight 15B-parameter language model published by Axon Labs AI on Hugging Face, built via architectural reconfiguration of existing weights rather than large-scale pretraining from scratch. It is intended for general text generation tasks such as chat or instruction-following. | Google frontier multimodal model. |