Calculate the cost of using llama-4-scout from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 327,680 tokens
Max: 16,384 tokens
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llama-4-scout is a chat model from OpenRouter, one of 355 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.30 per 1M output tokens, ranking 383 out of 2661 chat models by cost and cheaper than 85% of models in this category. llama-4-scout supports vision, function calling, structured output. Its 328K-token context window is in the top 17% 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 16,384 tokens.
At $0.10 per 1M input tokens and $0.30 per 1M output tokens, llama-4-scout ranks 383 out of 2661 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 85% of models in this category.
llama-4-scout is one of 355 OpenRouter chat models, with support for vision, function calling, structured output. its 328K-token context window places it in the top 17% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs llama-4-scout |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | 0% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | 0% |
| gemini-2.0-flash | Vertex AI | $0.10 | $0.40 | 0% |
Similar chat models from other providers
No. llama-4-scout costs $0.10 per 1M input tokens while gpt-4.1-nano costs $0.10 per 1M input tokens, making gpt-4.1-nano 0% more affordable for input. However, llama-4-scout may offer different capabilities or performance characteristics that justify the price difference.
llama-4-scout input pricing is $0.10 per 1M tokens, which is 80% below the median of $0.50 for chat models. It ranks 383 out of 2661 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.30 per 1M tokens compared to the median of $1.44.
Among OpenRouter's 355 chat models, llama-4-scout ranks 55 by input cost.
The most comparable chat models to llama-4-scout 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); gemini-2.0-flash from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite from Vertex AI ($0.10/1M 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 supports up to 327,680 input tokens, placing it in the top 17% of chat models by context window size (rank 430 of 2482). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
llama-4-scout 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 $0.10 and generating 1M output tokens costs $0.30.