Which is cheaper, Llama 4 Scout or Phi 4?
As of August 21, 2026, Phi 4 is 45% cheaper on blended LLM API pricing. Phi 4 costs $0.07 per million input tokens and $0.14 per million output tokens ($0.21 blended 1M-in + 1M-out). Llama 4 Scout costs $0.08 / $0.30 per million tokens ($0.38 blended). Sources: https://llama.meta.com/ and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Llama 4 Scout vs Phi 4 cost per million tokens?
Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. Phi 4 Microsoft API pricing is $0.07 input and $0.14 output per million tokens via Microsoft. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Llama 4 Scout or Phi 4?
Llama 4 Scout has a published LiveCodeBench score of 32.8%. Phi 4 does not have that eval on this page yet.
What is the context window for Llama 4 Scout vs Phi 4?
Llama 4 Scout supports a 10M token context window, while Phi 4 supports 16K 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, Llama 4 Scout or Phi 4?
Llama 4 Scout leads on 4 of 6 shared benchmarks versus Phi 4's 2 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 Llama 4 Scout or Phi 4 better for production use?
Both Llama 4 Scout and Phi 4 are production API models. For cost-sensitive production traffic, Phi 4 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 Llama 4 Scout and Phi 4 in my app?
Yes. Call Llama 4 Scout through Meta and Phi 4 through Microsoft 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 Llama 4 Scout vs Phi 4 pricing data?
List rates are the latest published Meta API pricing and Microsoft API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/. 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 Llama 4 Scout and Phi 4?
Llama 4 Scout supports up to 10M output tokens per request, while Phi 4 supports up to 16K 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, Llama 4 Scout or Phi 4?
Llama 4 Scout runs at approximately 76.1 tokens/second while Phi 4 runs at 33 tokens/second. Llama 4 Scout is faster in raw throughput. 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 Llama 4 Scout vs Phi 4 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 4 Scout or Phi 4 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
