Head-to-head model comparison

GPT-6 Astra vs Claude Opus 5

GPT-6 Astra and Claude Opus 5 both run on OpenLux behind one OpenAI-compatible endpoint. GPT-6 Astra is metered at $0.3677 per 1M tokens (-96% vs official rates); Claude Opus 5 at $0.4412 per 1M tokens (-91% vs official rates). GPT-6 Astra is the lower-cost option per unit — about 17% cheaper on the same OpenLux endpoint. This page compares their rates, strengths and best-fit workloads so you can route each request to the right model.

OpenAIvsAnthropic

Create an API key Full model catalogue

Abstract orange glass sculpture illustrating the GPT-6 Astra vs Claude Opus 5 comparison on OpenLux
Both models answer to the same OpenLux key — switching is a one-field change to the model name.

The short version

In practice the two models are complements, not substitutes: GPT-6 Astra suits workloads that need agents and apps that call tools or functions, prompts that include images, charts or screenshots. Claude Opus 5 is the better fit when you need agents and apps that call tools or functions, production chat and assistant workloads. Both are called with the same OpenLux key, so switching between them is a one-field change to the model name.

Choose GPT-6 Astra when

  • You need agents and apps that call tools or functions.
  • You need prompts that include images, charts or screenshots.
  • Unit cost is the deciding factor for this workload.

Read the GPT-6 Astra model page

Choose Claude Opus 5 when

  • You need agents and apps that call tools or functions.
  • You need production chat and assistant workloads.

Read the Claude Opus 5 model page

Rates on OpenLux

ModelProviderRateDiscount
GPT-6 AstraOpenAI$0.3677 per 1M tokens-96%
Claude Opus 5Anthropic$0.4412 per 1M tokens-91%

Rates follow official provider pricing and are billed in USD. See the full catalogue and pricing plans for credit allowances.

One snippet, two models

GPT-6 Astra and Claude Opus 5 share the same OpenAI-compatible request shape. Run the same code against both and compare the answers on your own workload.

from openai import OpenAI

client = OpenAI(
    api_key="sk-openlux-...",
    base_url="https://openlux.lol/v1",
)

for model in ["gpt-6-astra", "claude-opus-5"]:
    resp = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "Summarise this release note for me."}],
    )
    print(model, "->", resp.choices[0].message.content)

Any OpenAI SDK works the same way — see the docs for streaming, tools and error codes.

GPT-6 Astra vs Claude Opus 5 questions

How much do GPT-6 Astra and Claude Opus 5 cost on OpenLux?

GPT-6 Astra is metered pay as you go at $0.3677 per 1M tokens, a -96% discount on official list pricing. Claude Opus 5 is metered at $0.4412 per 1M tokens, a -91% discount. There is no subscription requirement: usage is billed in USD and every request is visible in the console.

Can I call GPT-6 Astra and Claude Opus 5 with the same API key?

Yes. Both models sit behind the same OpenAI-compatible endpoint at https://openlux.lol/v1. Keep the same key and change only the "model" field to switch between gpt-6-astra and claude-opus-5 — request and response shapes stay identical.

Which is cheaper, GPT-6 Astra or Claude Opus 5?

GPT-6 Astra costs less per unit: $0.3677 per 1M tokens versus $0.4412 per 1M tokens, about 17% lower for the same volume. Over a month of production traffic the difference compounds, and the console shows cost per request in real time.

When should I pick GPT-6 Astra over Claude Opus 5?

In practice the two models are complements, not substitutes: GPT-6 Astra suits workloads that need agents and apps that call tools or functions, prompts that include images, charts or screenshots. Claude Opus 5 is the better fit when you need agents and apps that call tools or functions, production chat and assistant workloads. Both are called with the same OpenLux key, so switching between them is a one-field change to the model name.

Route every request to the right model

OpenLux keeps GPT-6 Astra, Claude Opus 5 and every other model behind one key, one endpoint and one bill. Start with free trial credit and switch models without touching your code.

Create an API key Read the docs