LLM Pricing
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Llama-4-Scout-17B-16E-Instruct

sambanova · chat model

Input
$0.4000 / 1M tokens
Output
$0.7000 / 1M tokens
Cached input
N/A
Context
8.2K

Pricing

Item Raw value (per token) Normalized
Input 4e-7 $0.4000 / 1M tokens
Output 7e-7 $0.7000 / 1M tokens
Embedding 4e-7 $0.4000 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
8.2K
Max output tokens
8.2K
Max tokens
8.2K

Capabilities

Capability Supported
Vision No
Function calling Yes
Parallel function calling No
Tool choice Yes
Prompt caching No
Reasoning No
Response schema Yes
System messages No
Audio input No
Audio output No
Web search No
PDF input No
Video input No

Similar models

Models with comparable pricing in the same mode (chat).

Model Provider Input Output Context Coding Features
meta.llama3-8b-instruct-v1:0 Bedrock $0.3600 / 1M tokens $0.7200 / 1M tokens 8.2K N/A
mistral.mixtral-8x7b-instruct-v0:1 Bedrock $0.4500 / 1M tokens $0.7000 / 1M tokens 8.2K N/A
mistral.mixtral-8x7b-instruct-v0:1 Bedrock $0.4500 / 1M tokens $0.7000 / 1M tokens 8.2K N/A
mistral.mixtral-8x7b-instruct-v0:1 Bedrock $0.4500 / 1M tokens $0.7000 / 1M tokens 8.2K N/A
meta.llama3-8b-instruct-v1:0 Bedrock $0.3500 / 1M tokens $0.6900 / 1M tokens 8.2K N/A
gpt-oss-120b cerebras $0.3500 / 1M tokens $0.7500 / 1M tokens 32.8K N/A Tools Reasoning

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "input_cost_per_token": 4e-7,
  "litellm_provider": "sambanova",
  "max_input_tokens": 8192,
  "max_output_tokens": 8192,
  "max_tokens": 8192,
  "metadata": {
    "notes": "For vision models, images are converted to 6432 input tokens and are billed at that amount"
  },
  "mode": "chat",
  "output_cost_per_token": 7e-7,
  "source": "https://cloud.sambanova.ai/plans/pricing",
  "supports_function_calling": true,
  "supports_response_schema": true,
  "supports_tool_choice": true
}