LLM Pricing
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gpt-oss-safeguard-20b

Groq · chat model

Input
$0.0750 / 1M tokens
Output
$0.3000 / 1M tokens
Cached input
$0.0370 / 1M tokens
Context
65.5K

Pricing

Item Raw value (per token) Normalized
Input 7.5e-8 $0.0750 / 1M tokens
Output 3e-7 $0.3000 / 1M tokens
Cached input 3.7e-8 $0.0370 / 1M tokens
Embedding 7.5e-8 $0.0750 / 1M tokens

Token limits

Context window
65.5K
Max input tokens
131.1K
Max output tokens
65.5K
Max tokens
65.5K

Capabilities

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

Similar models

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

Model Provider Input Output Context Coding Features
Phi-4-mini-instruct azure_ai $0.0750 / 1M tokens $0.3000 / 1M tokens 4.1K N/A Tools
gemini-2.0-flash-lite vertex_ai-language-models $0.0750 / 1M tokens $0.3000 / 1M tokens N/A N/A Vision Tools Cache
gemini-2.0-flash-lite-001 vertex_ai-language-models $0.0750 / 1M tokens $0.3000 / 1M tokens N/A N/A Vision Tools Cache
gemini-2.0-flash-lite Google $0.0750 / 1M tokens $0.3000 / 1M tokens N/A N/A Vision Tools Cache
gpt-oss-20b Groq $0.0750 / 1M tokens $0.3000 / 1M tokens 32.8K N/A Tools Reasoning
google.gemini-2.5-flash-lite oci $0.0750 / 1M tokens $0.3000 / 1M tokens 65.5K N/A Vision Tools

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "cache_read_input_token_cost": 3.7e-8,
  "input_cost_per_token": 7.5e-8,
  "litellm_provider": "groq",
  "max_input_tokens": 131072,
  "max_output_tokens": 65536,
  "max_tokens": 65536,
  "mode": "chat",
  "output_cost_per_token": 3e-7,
  "supports_function_calling": true,
  "supports_reasoning": true,
  "supports_response_schema": true,
  "supports_tool_choice": true,
  "supports_web_search": true
}