Gemma 4 31B vs Llama 3.3 70B
Google's fourth-generation open dense model with native multimodal understanding.
Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.
No captured outputs for these models yet.
Frequently Asked Questions: Gemma 4 31B vs Llama 3.3 70B▼
Which is better, Gemma 4 31B or Llama 3.3 70B?
▼
Both Gemma 4 31B and Llama 3.3 70B are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Which is cheaper, Gemma 4 31B or Llama 3.3 70B?
▼
Llama 3.3 70B has a lower blended cost. Gemma 4 31B: $0.12 input / $0.35 output. Llama 3.3 70B: $0.10 input / $0.32 output.
Which has a larger context window, Gemma 4 31B or Llama 3.3 70B?
▼
Gemma 4 31B has a larger context window: Gemma 4 31B supports 262K tokens vs Llama 3.3 70B at 131K tokens.
Do both Gemma 4 31B and Llama 3.3 70B support vision?
▼
Gemma 4 31B supports vision/image input, but Llama 3.3 70B does not.
What are the key differences between Gemma 4 31B and Llama 3.3 70B?
▼
Key differences: only Gemma 4 31B supports vision input; only Gemma 4 31B offers extended reasoning mode. Compare full specs on this page.
Which model should I choose for my use case?
▼
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Gemma 4 31B and Llama 3.3 70B for free on idapt.app to see which performs better for your specific needs.