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PromptGuard supports all major LLM providers through a unified OpenAI-compatible API. This page lists all supported providers and their exact model names.

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Overview

PromptGuard automatically routes requests to the correct provider based on the model name. No configuration needed—just use the model name in your request, and PromptGuard handles the rest.
All providers use the same OpenAI-compatible API format. Simply change the model parameter in your request to use different providers.

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OpenAI Models

OpenAI provides the GPT series of models, including the latest GPT-5.x series.

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GPT-5.x Series (Latest - Dec 2025)

  • gpt-5.2 - Latest GPT-5 model
  • gpt-5.2-pro - Pro variant
  • gpt-5.2-instant - Fast variant
  • gpt-5.1 - Previous version

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GPT-4.1 Series (2025)

  • gpt-4.1 - 1M context window
  • gpt-4.1-mini - Smaller variant
  • gpt-4.1-nano - Compact variant

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GPT-4o Series (Multimodal)

  • gpt-5-nano - Multimodal model
  • gpt-5-nano-mini - Smaller multimodal variant
  • gpt-5-nano-2024-* - Versioned releases

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GPT-4 Series

  • gpt-4-turbo - Turbo variant
  • gpt-4-turbo-preview - Preview version
  • gpt-4-turbo-2024-* - Versioned releases
  • gpt-4-0314, gpt-4-0613, gpt-4-1106-preview - Historical versions
  • gpt-4 - Base model

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GPT-3.5 Series

  • gpt-3.5-turbo - Latest GPT-3.5
  • gpt-3.5-turbo-16k - Extended context
  • gpt-3.5-turbo-0125 - Versioned release

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Embeddings Models

  • text-embedding-ada-002
  • text-embedding-3-small
  • text-embedding-3-large

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Specialized Models

  • dall-e-2, dall-e-3 - Image generation
  • whisper-1 - Audio transcription
  • tts-1, tts-1-hd - Text-to-speech

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Anthropic Claude Models

Anthropic provides the Claude series of models, known for safety and reliability.

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Claude 4.x Series (Latest - 2025)

  • claude-sonnet-4-5-* - Latest Sonnet 4.5 models
  • claude-sonnet-4-0-* - Sonnet 4.0 models
  • claude-opus-4-1-* - Opus 4.1 models
  • claude-opus-4-0-* - Opus 4.0 models
  • claude-haiku-4-5-* - Haiku 4.5 models
  • claude-haiku-4-0-* - Haiku 4.0 models

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Claude 3.7 Series (Feb 2025)

  • claude-3-7-sonnet-* - Hybrid reasoning model

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Claude 3.5 Series (2024)

  • claude-3-5-sonnet-* - Sonnet variant
  • claude-3-5-haiku-* - Haiku variant

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Claude 3 Family (March 2024)

  • claude-3-opus-* - Opus models
  • claude-3-sonnet-* - Sonnet models
  • claude-3-haiku-* - Haiku models

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Legacy Models

  • claude-2.1, claude-2.0 - Claude 2 series
  • claude-instant-1.2 - Instant variant

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Google Gemini Models

Google’s Gemini models provide advanced multimodal capabilities.

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Gemini 3.x Series (Latest - Nov-Dec 2025)

  • gemini-3-pro - Latest Pro model
  • gemini-3-flash - Fast variant
  • gemini-3-deep-think - Reasoning variant

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Gemini 2.5 Series (2025)

  • gemini-2.5-pro-latest - Pro variant
  • gemini-2.5-flash-latest - Flash variant

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Gemini 2.0 Series (Experimental)

  • gemini-2.0-flash-exp - Experimental flash
  • gemini-2.0-flash-thinking-exp - Thinking variant

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Gemini 1.5 Series

  • gemini-1.5-pro - Pro model
  • gemini-1.5-flash - Flash variant
  • gemini-1.5-pro-latest - Latest Pro

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Legacy Models

  • gemini-pro - Original Pro model
  • gemini-pro-vision - Vision variant
Gemini models require API key authentication. Use your Google API key in the Authorization header.

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Mistral AI Models

Mistral AI provides high-performance open models optimized for various use cases.

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Frontier Models (Latest - 2025-2026)

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Generalist Models

  • mistral-large-3-25-12 / mistral-large-2512 - Latest large multimodal model (v25.12)
  • mistral-medium-3-1-25-08 / mistral-medium-2508 - Frontier-class multimodal model (v25.08)
  • mistral-small-3-2-25-06 / mistral-small-2506 - Latest small model (v25.06)
  • ministral-3-14b-25-12 - Powerful 14B model with text and vision (v25.12)
  • ministral-3-8b-25-12 - Efficient 8B model with text and vision (v25.12)
  • ministral-3-3b-25-12 - Compact 3B model with text and vision (v25.12)

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Reasoning Models

  • magistral-medium-1-2-25-09 / magistral-medium-2509 - Frontier-class multimodal reasoning (v25.09)
  • magistral-small-1-2-25-09 / magistral-small-2509 - Small multimodal reasoning (v25.09)

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Specialist Models

  • codestral-25-08 - Code completion model (v25.08)
  • devstral-2-25-12 - Code agents model (v25.12)
  • voxtral-mini-transcribe-25-07 - Audio transcription model (v25.07)
  • voxtral-mini-25-07 - Mini audio model (v25.07)
  • voxtral-small-25-07 - Small audio model (v25.07)
  • ocr-3-25-12 - OCR service for Document AI (v25.12)

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Legacy Models (Still Supported)

  • mistral-large-latest - Alias for latest large model
  • mistral-small-latest - Alias for latest small model
  • mistral-tiny-latest - Compact model
  • mistral-medium-latest - Medium variant
  • pixtral-12b-2409 - Legacy multimodal model

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DeepSeek Models

DeepSeek provides competitive open-weight LLMs with strong performance.

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Available Models

  • deepseek-chat - DeepSeek-V3.2 (Non-thinking Mode), 128K context, supports JSON output, tool calls, and FIM completion
  • deepseek-reasoner - DeepSeek-V3.2 (Thinking Mode), 128K context, supports JSON output and tool calls, optimized for reasoning tasks

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Cohere Models

Cohere specializes in enterprise-focused models optimized for RAG and agentic AI.

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Latest Models

  • command-r7b-12-2024 - Small, fast model for RAG, tool use, and agents
  • command-r-plus-08-2024 - Latest for RAG and agents
  • command-r-08-2024 - Optimized for RAG tasks
  • command-a-03-2025 - Most performant model for tool use, agents, and RAG

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Multilingual Models

  • aya-8b - 8B parameter multilingual model
  • aya-23b - 23B parameter multilingual model

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Groq Models

Groq provides ultra-fast inference for various open-source models.

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Meta Llama Models

  • llama-3.1-8b-instant - 8B instant model
  • llama-3.3-70b-versatile - 70B versatile model
  • llama-4-maverick-17b-128e-instruct - Maverick variant
  • llama-4-scout-17b-16e-instruct - Scout variant
  • meta-llama/llama-guard-4-12b - Guard model

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Alibaba Qwen Models

  • qwen/qwen3-32b - 32B Qwen model

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OpenAI Models on Groq

  • openai/gpt-oss-120b - 120B open-source GPT
  • openai/gpt-oss-20b - 20B open-source GPT

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Audio Models

  • whisper-large-v3 - Large Whisper model
  • whisper-large-v3-turbo - Turbo variant

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Azure OpenAI

Azure OpenAI provides the same models as OpenAI, hosted on Microsoft Azure infrastructure.
Azure OpenAI works in passthrough mode. Specify your Azure deployment name as azure/deployment-name and include your Azure resource credentials in headers.

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Supported Models

All OpenAI models are available through Azure OpenAI:
  • GPT-5.x, GPT-4.x, GPT-3.5 series
  • Embeddings models
  • Specialized models (DALL-E, Whisper, TTS)

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Model Detection

PromptGuard automatically detects which provider to use based on the model name prefix:
  1. Azure OpenAI: Models starting with azure/
  2. Groq: Models starting with llama-, qwen/, openai/, whisper-, etc.
  3. Anthropic: Models starting with claude-
  4. Gemini: Models starting with gemini-
  5. Mistral: Models starting with mistral- or pixtral-
  6. DeepSeek: Models starting with deepseek-
  7. Cohere: Models starting with command-, aya-, or cohere-
  8. OpenAI: All other models (fallback)
Provider selection is automatic. Just use the model name, and PromptGuard routes it to the correct provider.

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Code Examples

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OpenAI

from openai import OpenAI

client = OpenAI(
    base_url="https://api.promptguard.co/api/v1",
    api_key="your-promptguard-key"
)

response = client.chat.completions.create(
    model="gpt-5.2",
    messages=[{"role": "user", "content": "Hello!"}]
)

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Anthropic Claude

from openai import OpenAI

client = OpenAI(
    base_url="https://api.promptguard.co/api/v1",
    api_key="your-promptguard-key"
)

response = client.chat.completions.create(
    model="claude-haiku-4-5",
    messages=[{"role": "user", "content": "Hello!"}]
)

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Google Gemini

from openai import OpenAI

client = OpenAI(
    base_url="https://api.promptguard.co/api/v1",
    api_key="your-google-api-key"  # Use your Google API key
)

response = client.chat.completions.create(
    model="gemini-2.5-flash-lite",
    messages=[{"role": "user", "content": "Hello!"}]
)

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Mistral AI

from openai import OpenAI

client = OpenAI(
    base_url="https://api.promptguard.co/api/v1",
    api_key="your-promptguard-key"
)

response = client.chat.completions.create(
    model="ministral-3b-latest",
    messages=[{"role": "user", "content": "Hello!"}]
)

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DeepSeek

from openai import OpenAI

client = OpenAI(
    base_url="https://api.promptguard.co/api/v1",
    api_key="your-promptguard-key"
)

response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[{"role": "user", "content": "Hello!"}]
)

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Cohere

from openai import OpenAI

client = OpenAI(
    base_url="https://api.promptguard.co/api/v1",
    api_key="your-promptguard-key"
)

response = client.chat.completions.create(
    model="command-r7b-12-2024",
    messages=[{"role": "user", "content": "Hello!"}]
)

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Groq (Llama)

from openai import OpenAI

client = OpenAI(
    base_url="https://api.promptguard.co/api/v1",
    api_key="your-promptguard-key"
)

response = client.chat.completions.create(
    model="llama-3.1-8b-instant",
    messages=[{"role": "user", "content": "Hello!"}]
)

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Getting Help

If you encounter issues with a specific model:
  1. Check model name: Ensure you’re using the exact model name from this list
  2. Verify API key: Make sure your API key is valid for the provider
  3. Check provider status: Some providers may have temporary outages
  4. See troubleshooting: Visit our troubleshooting guide
For the most up-to-date model list, check each provider’s official documentation.