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 vs Nex AGI: Nex-N2.5-Pro
Nex AGI: Nex-N2.5-Pro wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 31B | Nex AGI: Nex-N2.5-Pro | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 262K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.09 | $0.07 | 🏆 Nex AGI: Nex-N2.5-Pro |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $0.25 | 🏆 Nex AGI: Nex-N2.5-Pro |
| 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 better than Nex AGI: Nex-N2.5-Pro?
Nex AGI: Nex-N2.5-Pro 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 and Nex AGI: Nex-N2.5-Pro?
Input: $0.09 vs $0.07 per 1M tokens. Output: $0.34 vs $0.25 per 1M tokens.
What context windows do Google: Gemma 4 31B and Nex AGI: Nex-N2.5-Pro support?
Google: Gemma 4 31B supports up to 262K tokens. Nex AGI: Nex-N2.5-Pro supports up to 262K tokens.
Do both Google: Gemma 4 31B and Nex AGI: Nex-N2.5-Pro support tool calling?
Google: Gemma 4 31B: yes. Nex AGI: Nex-N2.5-Pro: yes.