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Provide requirements and constraints, then ask for a recommendation with explicit trade-offs and assumptions.
gpt-oss-20b is an open-weight reasoning model from OpenAI. Use Blade’s hosted endpoint to evaluate planning, analysis and coding assistance with your own product context.
€5 in free credits for every new customer.
Try gpt-oss-20bFrom €0.0183 per million input tokens. View the pricing details.
Practical starting points for gpt-oss-20b. Choose one task, define the expected output and measure the result on your own examples.
Provide requirements and constraints, then ask for a recommendation with explicit trade-offs and assumptions.
Send a focused diff and relevant context. Ask for actionable issues, then check each finding against the actual code.
Turn a user’s request into a proposed plan. Keep tool execution and permissions in your application rather than in the generated text.
gpt-oss-20b pricing
These are catalogue “From” rates in EUR. Dynamic pricing can change the applicable price. Confirm your model, request route and active billing unit before estimating a workload.
See gpt-oss-20b on the rate card ↗A concrete example
10,000 input tokens + 2,000 output tokens = €0.000322 at the displayed starting rates.
Illustration only; excludes retries, other models and paid tools. Catalogue updated 2026-10-22.
Check current rates ↗API integration
Use the Blade model ID gpt-oss-20b and keep your API key in your backend environment. Verify account access and supported parameters before connecting production traffic.
pip install openai and set BLADE_API_KEY.import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.models.blade.sh/v1",
api_key=os.environ["BLADE_API_KEY"],
timeout=120.0,
)
reply = client.chat.completions.create(
model="gpt-oss-20b",
messages=[{
"role": "user",
"content": "Review a retry strategy for a payment API. Explain when retries are unsafe and how idempotency helps.",
}],
max_tokens=4096,
)
print(reply.choices[0].message.content)Install openai and set BLADE_API_KEY. This sends a billed request. Check supported parameters and handle timeouts, rate limits and incomplete responses.
Connect a skill or API runner that sends a focused task to gpt-oss-20b. Your main assistant keeps the project context, reviews the proposal and runs the checks.
Define the task and select the files.
Propose code through Blade’s API.
Review the diff. Run the tests.
A configured integration is required. Your assistant retains its main model; delegated Blade requests are billed separately. Evaluate the result on your task before expanding the workflow.
Set up coding delegation ↗gpt-oss-20b is an open-weight reasoning model from OpenAI. Use Blade’s hosted endpoint to evaluate planning, analysis and coding assistance with your own product context. Its Blade model ID is gpt-oss-20b.
Input / 1M tokens: from €0.0183. Output / 1M tokens: from €0.0697. These are dynamic catalogue starting rates as of 2026-10-22, not fixed prices for every request. Check the console for current rates.
OpenAI’s model card describes the upstream model. Blade’s alias, serving configuration and supported reasoning parameters determine what your API request can use.
Yes, through a configured delegation skill or API runner. Your primary assistant sends a task to Blade and reviews the result. It keeps its own model, and Blade requests are billed separately. Follow the delegation guide.
Model reference: Publisher model reference ↗. Hosted configuration and pricing: Blade catalogue, 2026-10-22.
Choose by task, input type and billing unit. Browse all models ↗
Need to configure your own worker? Read the gpt-oss-20b GPU deployment guide ↗