Which is cheaper, Gemini 3.5 Flash-Lite or Llama 4 Scout?
As of August 20, 2026, Llama 4 Scout is 86% cheaper on blended LLM API pricing. Llama 4 Scout costs $0.08 per million input tokens and $0.30 per million output tokens ($0.38 blended 1M-in + 1M-out). Gemini 3.5 Flash-Lite costs $0.30 / $2.50 per million tokens ($2.80 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Gemini 3.5 Flash-Lite vs Llama 4 Scout cost per million tokens?
Gemini 3.5 Flash-Lite Gemini API pricing is $0.30 input and $2.50 output per million tokens via Google. Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Gemini 3.5 Flash-Lite or Llama 4 Scout?
Gemini 3.5 Flash-Lite has a published SWE-bench Verified score of 75%. Llama 4 Scout does not have that eval on this page yet.
What is the context window for Gemini 3.5 Flash-Lite vs Llama 4 Scout?
Gemini 3.5 Flash-Lite supports a 1M token context window, while Llama 4 Scout supports 10M tokens. Llama 4 Scout offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Gemini 3.5 Flash-Lite or Llama 4 Scout?
Gemini 3.5 Flash-Lite leads on 7 of 7 shared benchmarks versus Llama 4 Scout's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Gemini 3.5 Flash-Lite or Llama 4 Scout better for production use?
Both Gemini 3.5 Flash-Lite and Llama 4 Scout are production API models. For cost-sensitive production traffic, Llama 4 Scout has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Gemini 3.5 Flash-Lite and Llama 4 Scout in my app?
Yes. Call Gemini 3.5 Flash-Lite through Google and Llama 4 Scout through Meta with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Gemini 3.5 Flash-Lite vs Llama 4 Scout pricing data?
List rates are the latest published Gemini API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://llama.meta.com/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Gemini 3.5 Flash-Lite and Llama 4 Scout?
Gemini 3.5 Flash-Lite supports up to 66K output tokens per request, while Llama 4 Scout supports up to 10M output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Gemini 3.5 Flash-Lite or Llama 4 Scout?
Llama 4 Scout has a measured throughput of approximately 76.1 tokens/second. Throughput data for Gemini 3.5 Flash-Lite is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Gemini 3.5 Flash-Lite vs Llama 4 Scout comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemini 3.5 Flash-Lite or Llama 4 Scout from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
