Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Model details →Google: Gemma 3 12B vs Inception: Mercury
Google: Gemma 3 12B wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Mercury is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like GPT-4.1 Nano and Claude 3.5 Haiku while matching their perfor…
Model details →Side-by-side comparison
| Capability | Google: Gemma 3 12B | Inception: Mercury | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 128K | 🏆 Google: Gemma 3 12B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.05 | $0.25 | 🏆 Google: Gemma 3 12B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.15 | $0.75 | 🏆 Google: Gemma 3 12B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Gemma 3 12B |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Gemma 3 12B better than Inception: Mercury?
Google: Gemma 3 12B wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 3 12B and Inception: Mercury?
Input: $0.05 vs $0.25 per 1M tokens. Output: $0.15 vs $0.75 per 1M tokens.
What context windows do Google: Gemma 3 12B and Inception: Mercury support?
Google: Gemma 3 12B supports up to 131K tokens. Inception: Mercury supports up to 128K tokens.
Do both Google: Gemma 3 12B and Inception: Mercury support tool calling?
Google: Gemma 3 12B: yes. Inception: Mercury: yes.