Model access
Claude API access without a separate integration path
Claude is often selected for long-form reasoning, writing, support automation and agent workflows. PEKPIK LLM gives teams a practical way to call Claude alongside GPT, Gemini, DeepSeek and Chinese model families without creating a separate SDK path for every provider.
Why teams search for this
Where PEKPIK fits
Good fit
- OKCustomer support, writing, summarization and agent tasks where Claude performs well.
- OKTeams that need a fallback model without rewriting application code.
- OKDevelopers building demos or SaaS features that compare several model families.
Check first
- !Claude-specific features should be tested against the OpenAI-compatible endpoint before launch.
- !Long context behavior and tool schemas should be validated with your exact prompts.
- !Final pricing can vary by model version and is confirmed at provisioning.
OpenAI-compatible example
base_url swapfrom openai import OpenAI
client = OpenAI(
base_url="https://aiapiv2.pekpik.com/v1",
api_key="sk-...",
)
response = client.chat.completions.create(
model="claude",
messages=[{"role": "user", "content": "Summarize this for a product team."}],
) Suggested rollout
- 01
Start with one Claude model in staging and replay representative prompts.
- 02
Record output quality, latency and token spend against your current primary model.
- 03
Add a fallback model from another provider for critical workflows.
- 04
Promote the model ID through config once evaluations pass.
FAQ
Can I use the normal OpenAI SDK for Claude through PEKPIK?
That is the intended flow for common chat completion use cases: keep the SDK, change the base URL and set a PEKPIK key.
Is this the same as signing up directly with Anthropic?
No. PEKPIK is a gateway that provides access through its own key and billing flow. Direct provider accounts can still be useful for provider-specific enterprise needs.