Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Model details →Google: Gemma 4 31B (batch) vs Free Models Router
Free Models Router wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
The simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for models that...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 31B (batch) | Free Models Router | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 200K | 🏆 Google: Gemma 4 31B (batch) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.39 | $0.00 | 🏆 Free Models Router |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.97 | $0.00 | 🏆 Free Models Router |
| 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. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemma 4 31B (batch) better than Free Models Router?
Free Models Router wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 4 31B (batch) and Free Models Router?
Input: $0.39 vs $0.00 per 1M tokens. Output: $0.97 vs $0.00 per 1M tokens.
What context windows do Google: Gemma 4 31B (batch) and Free Models Router support?
Google: Gemma 4 31B (batch) supports up to 262K tokens. Free Models Router supports up to 200K tokens.
Do both Google: Gemma 4 31B (batch) and Free Models Router support tool calling?
Google: Gemma 4 31B (batch): yes. Free Models Router: yes.