OpenAI: gpt-6-astra

Price, performance, capabilities, and a ready-to-use request for GPT-6 Astra.
Compare models
gpt-6-astra
AvailableOpenAIChatCached input 90% less
Input / Output-70%
$10.00 / $50.00$3.00 / $15.00
Context
1.05M
Max output
128K
Modalities
VisionChat
Capabilities
Tool usePrompt CacheReasoning

Getting started

  1. Create API key

    Create a key in Console, then use it with every model on the platform.

  2. Send your first request

    Copy the example for your language and run it against the endpoint.

    chat_completionResponses API
    POST/v1/responses
    API format:
    curl https://api.tokenlab.sh/v1/responses \
      -H "Content-Type: application/json" \
      -H "Authorization: Bearer sk-xxx" \
      -d '{
        "model": "gpt-6-astra",
        "input": "Hello!"
      }'

Pricing

Official price is the model maker's public baseline. TokenLab price is what you pay for this model on TokenLab.

Input tokens <= 272K

Per 1M tokens
Official price
Input $10.00 / Output $50.00 / Cache read $1.00 / Cache write $12.50
TokenLab price
Input $3.00 / Output $15.00 / Cache read $0.30 / Cache write $3.75
Discount
-70%

Input tokens 272K-1.05M

Per 1M tokens
Official price
Input $20.00 / Output $75.00 / Cache read $2.00 / Cache write $25.00
TokenLab price
Input $6.00 / Output $22.50 / Cache read $0.60 / Cache write $7.50
Discount
-70%
Prompt cache pricing

Cache read

Official price
$1.00
TokenLab price
$0.30
Discount
-70%

Cache write

Official price
$12.50
TokenLab price
$3.75
Discount
-70%

Usage & activity

Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.

Usage & availability

Last 24 hours

No data yet

Model performance
30-day success rate
42.8%
7-day median latency
13.1 sn=1,109
7-day P95 latency
43.4 sn=1,109
30-day requests
2K+
Last active
3 hours ago

Data is based on aggregate user requests, excluding status checks.

Open in Console

Open GPT-6 Astra in Console with a prompt ready to edit or send.

Help me try gpt-6-astra with a short message at /v1/responses. Show the reply, latency, and cost.

Use cases

Best for

Code

Writing, reviewing, and debugging code in real engineering loops

Reasoning

Multi-step reasoning, analysis, and research workflows

Vision

Reading images, parsing documents, and answering visual questions

01

Agents and tools

Handle reasoning, support triage, tool calls, and multi-step tasks.

02

Coding

Generate, review, or debug code in the tools you already use.

03

Knowledge assistants

Build chat, search, and retrieval with a clear price and capability profile.

04

Side-by-side test

Compare response quality, latency, and price side by side.

Prompt examples

Write a concise support reply and list the assumptions behind it.

Review this API design and call out the top three integration risks.

Turn a long changelog into release notes a non-engineer would read.

This model has conditional pricing. Monthly token totals alone cannot produce a reliable estimate; use the detailed pricing for the request specification, cache, and applicable time window.

FAQ

How much does GPT-6 Astra cost?

On TokenLab, GPT-6 Astra costs Input $3.00 / Output $15.00 Per 1M tokens. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.

What is GPT-6 Astra best for?

GPT-6 Astra supports Code, JSON mode, Prompt Cache. You can open it directly in Create.

How do I test GPT-6 Astra?

Open GPT-6 Astra in Create. A sample for /v1/responses will be ready to try.

Which endpoint should GPT-6 Astra use?

Use https://api.tokenlab.sh/v1/responses for GPT-6 Astra. The request example below shows the matching code shape.

Can I test GPT-6 Astra before integrating it?

Yes. Open Console starts a ready draft for GPT-6 Astra and keeps your prompt after sign-in, so you don’t lose context.

Which operations does GPT-6 Astra support?

GPT-6 Astra supports chat_completion. Select an operation above to see its endpoint and request example.

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