LLM Pricing
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llama-4-maverick

vercel_ai_gateway · chat model

Input
$0.2000 / 1M tokens
Output
$0.6000 / 1M tokens
Cached input
N/A
Context
8.2K

Pricing

Item Raw value (per token) Normalized
Input 2e-7 $0.2000 / 1M tokens
Output 6e-7 $0.6000 / 1M tokens
Embedding 2e-7 $0.2000 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
131.1K
Max output tokens
8.2K
Max tokens
8.2K

Capabilities

Capability Supported
Vision No
Function calling No
Parallel function calling No
Tool choice Yes
Prompt caching No
Reasoning No
Response schema No
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
Qwen2.5-VL-32B-Instruct deepinfra $0.2000 / 1M tokens $0.6000 / 1M tokens 128.0K N/A Vision Tools
DeepSeek-R1-Distill-Llama-70B deepinfra $0.2000 / 1M tokens $0.6000 / 1M tokens 131.1K N/A
llama-4-maverick-17b-128e-instruct Groq $0.2000 / 1M tokens $0.6000 / 1M tokens 8.2K N/A Vision Tools
deepseek-llama3.3-70b lambda_ai $0.2000 / 1M tokens $0.6000 / 1M tokens 131.1K N/A Tools Reasoning
deepseek-r1-0528 lambda_ai $0.2000 / 1M tokens $0.6000 / 1M tokens 131.1K N/A Tools Reasoning
deepseek-v3-0324 lambda_ai $0.2000 / 1M tokens $0.6000 / 1M tokens 131.1K N/A Tools

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "input_cost_per_token": 2e-7,
  "litellm_provider": "vercel_ai_gateway",
  "max_input_tokens": 131072,
  "max_output_tokens": 8192,
  "max_tokens": 8192,
  "mode": "chat",
  "output_cost_per_token": 6e-7,
  "supports_tool_choice": true
}