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Telnyx provides access to a variety of open-source and proprietary large language models (LLMs) through the Inference API. All models are accessible via the Chat Completions API and are OpenAI-compatible.

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Chat Completions models

These models are verified for use with the Chat Completions API.
Currently available in the US only. Additional regions coming soon.
Model IDDescription
moonshotai/Kimi-K2.5Balance of intelligence and cost, real-time voice AI (Recommended)
zai-org/GLM-5Highest intelligence open-source LLM
MiniMaxAI/MiniMax-M2.5High intelligence at lower cost

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Other models

The following models are also available on the Telnyx platform.
Model IDDescription
Qwen/Qwen3-235B-A22BStrong function calling and reasoning
Groq/kimi-k2-instructOpen-source instruction-tuned model
Groq/llama-4-maverick-17b-128e-instructOpen-source instruction-tuned model
anthropic/claude-haiku-4-5Anthropic proprietary model
google/gemini-2.5-flashGoogle proprietary model
openai/gpt-4.1OpenAI proprietary model
openai/gpt-4oOpenAI proprietary model
openai/gpt-5OpenAI proprietary model
openai/gpt-5.1OpenAI proprietary model
openai/gpt-5.2OpenAI proprietary model
fixie-ai/ultravox-v0_4_1-llama-3_1-8bAudio language model for voice input

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Choosing a model

  • General use: moonshotai/Kimi-K2.5 offers the best balance of intelligence and cost.
  • Highest quality: zai-org/GLM-5 for tasks requiring maximum intelligence.
  • Cost-sensitive: MiniMaxAI/MiniMax-M2.5 provides high intelligence at lower cost.
  • Function calling: Qwen/Qwen3-235B-A22B is recommended for function calling workflows.
  • Audio input: fixie-ai/ultravox-v0_4_1-llama-3_1-8b for audio language models.

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Using a model

Pass the model ID in the model parameter of your API request: 
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("TELNYX_API_KEY"),
    base_url="https://api.telnyx.com/v2/ai",
)

chat_completion = client.chat.completions.create(
    model="moonshotai/Kimi-K2.5",
    messages=[{"role": "user", "content": "Hello!"}],
)