Gemini 3.5 Flash vs Llama 3.3 70B
Google's high-speed thinking model for agentic workflows, chat, and coding.
Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.
No captured outputs for these models yet.
Frequently Asked Questions: Gemini 3.5 Flash vs Llama 3.3 70B▼
Which is better, Gemini 3.5 Flash or Llama 3.3 70B?
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Based on the Capability Index, Gemini 3.5 Flash scores higher (86.2 vs 61.4). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Which is cheaper, Gemini 3.5 Flash or Llama 3.3 70B?
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Llama 3.3 70B has a lower blended cost. Gemini 3.5 Flash: $1.50 input / $9.00 output. Llama 3.3 70B: $0.10 input / $0.32 output.
Which has a larger context window, Gemini 3.5 Flash or Llama 3.3 70B?
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Gemini 3.5 Flash has a larger context window: Gemini 3.5 Flash supports 1M tokens vs Llama 3.3 70B at 131K tokens.
Do both Gemini 3.5 Flash and Llama 3.3 70B support vision?
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Gemini 3.5 Flash supports vision/image input, but Llama 3.3 70B does not.
What are the key differences between Gemini 3.5 Flash and Llama 3.3 70B?
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Key differences: Gemini 3.5 Flash has a notably higher capability index (24.8 point gap); Llama 3.3 70B is significantly cheaper; only Gemini 3.5 Flash supports vision input; only Gemini 3.5 Flash offers extended reasoning mode. Compare full specs on this page.
Which model should I choose for my use case?
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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 Gemini 3.5 Flash and Llama 3.3 70B for free on idapt.app to see which performs better for your specific needs.