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 OpenAI: GPT-4o-mini (batch)
Google: Gemma 3 12B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Model details →Side-by-side comparison
| Capability | Google: Gemma 3 12B | OpenAI: GPT-4o-mini (batch) | 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 | $0.07 | 🏆 Google: Gemma 3 12B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.15 | $0.30 | 🏆 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 | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Gemma 3 12B better than OpenAI: GPT-4o-mini (batch)?
Google: Gemma 3 12B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 3 12B and OpenAI: GPT-4o-mini (batch)?
Input: $0.05 vs $0.07 per 1M tokens. Output: $0.15 vs $0.30 per 1M tokens.
What context windows do Google: Gemma 3 12B and OpenAI: GPT-4o-mini (batch) support?
Google: Gemma 3 12B supports up to 131K tokens. OpenAI: GPT-4o-mini (batch) supports up to 128K tokens.
Do both Google: Gemma 3 12B and OpenAI: GPT-4o-mini (batch) support tool calling?
Google: Gemma 3 12B: yes. OpenAI: GPT-4o-mini (batch): yes.
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