Model comparison
Mercury 2 vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
Mercury 2
Not scored
value score
Gemini 2.5 Pro
93
value score
Mercury 2 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 | Mercury 2 | Gemini 2.5 Pro |
|---|---|---|
| Developer | Inception | 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 | Mercury 2 is Inception Labs' diffusion-based reasoning language model that uses parallel token refinement instead of left-to-right autoregressive generation to achieve very low latency inference. It targets production AI workloads such as coding assistants, agents, voice pipelines, and retrieval-augmented applications. | Google frontier multimodal model. |