Calculate the cost of using Llama-4-Scout-17B-16E-Instruct from DeepInfra for your AI applications
Pricing data last updated:
Mode: Chat
Max: 327,680 tokens
Max: 327,680 tokens
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Llama-4-Scout-17B-16E-Instruct is a chat model from DeepInfra, one of 67 chat models they offer. It is priced at $0.08 per 1M input tokens and $0.30 per 1M output tokens, ranking 194 out of 2292 chat models by cost and cheaper than 91% of models in this category. Llama-4-Scout-17B-16E-Instruct supports function calling. Its 328K-token context window is in the top 15% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 327,680 input tokens. The maximum output length is 327,680 tokens.
At $0.08 per 1M input tokens and $0.30 per 1M output tokens, Llama-4-Scout-17B-16E-Instruct ranks 194 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 91% of models in this category.
Llama-4-Scout-17B-16E-Instruct is one of 67 DeepInfra chat models, with support for function calling. its 328K-token context window places it in the top 15% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Llama-4-Scout-17B-16E-Instruct |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | +25% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | +25% |
| Phi-4-mini-instruct | Azure | $0.07 | $0.30 | -6% |
Similar chat models from other providers
Yes. Llama-4-Scout-17B-16E-Instruct costs $0.08 per 1M input tokens compared to gpt-4.1-nano's $0.10 per 1M input tokens, making it 25% 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 $0.08 per 1M tokens, which is 85% below the median of $0.55 for chat models. It ranks 194 out of 2292 chat models by input cost, making it cheaper than 91% of models in this category. For output, it costs $0.30 per 1M tokens compared to the median of $1.50.
Among DeepInfra's 67 chat models, Llama-4-Scout-17B-16E-Instruct ranks 20 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 supports up to 327,680 input tokens, placing it in the top 15% of chat models by context window size (rank 323 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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 $0.08 and generating 1M output tokens costs $0.30.
