Which is cheaper, Llama 4 Scout or QvQ-72B-Preview?
As of August 30, 2026, Llama 4 Scout is 84% 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). QvQ-72B-Preview costs $1.20 / $1.20 per million tokens ($2.40 blended). Sources: https://llama.meta.com/ and https://www.alibabacloud.com/help/en/model-studio/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Llama 4 Scout vs QvQ-72B-Preview cost per million tokens?
Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. QvQ-72B-Preview Qwen API pricing is $1.20 input and $1.20 output per million tokens via Qwen. 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 QvQ-72B-Preview?
Llama 4 Scout has a published LiveCodeBench score of 32.8%. QvQ-72B-Preview does not have that eval on this page yet.
What is the context window for Llama 4 Scout vs QvQ-72B-Preview?
Llama 4 Scout supports a 10M token context window, while QvQ-72B-Preview supports 33K 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 QvQ-72B-Preview?
QvQ-72B-Preview leads on 2 of 2 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 Llama 4 Scout or QvQ-72B-Preview better for production use?
Both Llama 4 Scout and QvQ-72B-Preview 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 Llama 4 Scout and QvQ-72B-Preview in my app?
Yes. Call Llama 4 Scout through Meta and QvQ-72B-Preview through Qwen 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 QvQ-72B-Preview pricing data?
List rates are the latest published Meta API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://www.alibabacloud.com/help/en/model-studio/pricing. 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 QvQ-72B-Preview?
Llama 4 Scout supports up to 10M output tokens per request, while QvQ-72B-Preview supports up to an unspecified number of 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 QvQ-72B-Preview?
Llama 4 Scout has a measured throughput of approximately 76.1 tokens/second. Throughput data for QvQ-72B-Preview 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 Llama 4 Scout vs QvQ-72B-Preview 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 QvQ-72B-Preview from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
