Calculate the cost of using Llama-4-Scout-17B-16E-Instruct from Nscale for your AI applications
Pricing data last updated:
Mode: Chat
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Llama-4-Scout-17B-16E-Instruct is a chat model from Nscale, one of 14 chat models they offer. It is priced at $0.09 per 1M input tokens and $0.29 per 1M output tokens, ranking 221 out of 2168 chat models by cost and cheaper than 89% of models in this category.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
At $0.09 per 1M input tokens and $0.29 per 1M output tokens, Llama-4-Scout-17B-16E-Instruct ranks 221 out of 2168 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 89% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Llama-4-Scout-17B-16E-Instruct |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | +11% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | +11% |
| Phi-4-mini-instruct | Azure | $0.07 | $0.30 | -17% |
Similar chat models from other providers
Yes. Llama-4-Scout-17B-16E-Instruct costs $0.09 per 1M input tokens compared to gpt-4.1-nano's $0.10 per 1M input tokens, making it 11% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.
Llama-4-Scout-17B-16E-Instruct input pricing is $0.09 per 1M tokens, which is 84% below the median of $0.55 for chat models. It ranks 221 out of 2168 chat models by input cost, making it cheaper than 89% of models in this category. For output, it costs $0.29 per 1M tokens compared to the median of $1.44.
Among Nscale's 14 chat models, Llama-4-Scout-17B-16E-Instruct ranks 8 by input cost.
The most comparable chat models to Llama-4-Scout-17B-16E-Instruct are: gpt-4.1-nano from Azure ($0.10/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.10/1M input tokens); Phi-4-mini-instruct from Azure ($0.07/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
Llama-4-Scout-17B-16E-Instruct is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.09 and generating 1M output tokens costs $0.29.
