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 OpenAI: o1 (batch)
Google: Gemma 4 31B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 31B | OpenAI: o1 (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 200K | 🏆 Google: Gemma 4 31B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $7.50 | 🏆 Google: Gemma 4 31B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $30.00 | 🏆 Google: Gemma 4 31B |
| 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 OpenAI: o1 (batch)?
Google: Gemma 4 31B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 4 31B and OpenAI: o1 (batch)?
Input: $0.10 vs $7.50 per 1M tokens. Output: $0.34 vs $30.00 per 1M tokens.
What context windows do Google: Gemma 4 31B and OpenAI: o1 (batch) support?
Google: Gemma 4 31B supports up to 262K tokens. OpenAI: o1 (batch) supports up to 200K tokens.
Do both Google: Gemma 4 31B and OpenAI: o1 (batch) support tool calling?
Google: Gemma 4 31B: yes. OpenAI: o1 (batch): yes.
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