unbiased ai

Pareto / Switch

Coding plan alternative? Keep your agent.

Looking for an alternative to your coding plan? Pareto is a model and a plan, not another agent. Point the agent you already use at it: $10 a month for 50M tokens a week.

Personal

$10/month

Choose Personal · $10/monthSee the three settings

50M tokens/week · 20 requests/minute · one person

New API accounts require manual approval.

Benchmarks in the box above: Preliminary October 1, 2026 runs that may change; denominators and cost method still require confirmation. Not an estimate for your workload. Model card and method.

Comparing coding plans?

Five questions to ask any coding plan.

Switch in three settings

Keep your agent. Change three settings.

Pareto speaks the OpenAI Chat Completions and Anthropic Messages formats (API spec), so a coding agent that lets you set a base URL and a model name can usually use it. Change three settings.

  1. Choose a plan

    Create your platform account and pick Personal or Personal Max. New accounts are reviewed by a person before API access turns on. Your API key is issued on the platform once you’re approved.

  2. Enter the settings

    In your agent’s model or provider settings:
    Base URL:  https://api.unbiased.ai/v1
Model:     pareto
API key:   your Unbiased API key
    Agents built on the Anthropic SDK take https://api.unbiased.ai as the base URL; the SDK adds /v1/messages (quickstart). Keep the key in an environment variable or your OS keychain, never in a repo.

  3. If your tool lists models

    Model listing (GET /v1/models) isn’t implemented yet (API spec). Type pareto by hand.
Choose Personal · $10/month

50M tokens/week · 20 requests/minute · one person. New API accounts require manual approval.

Product names belong to their owners. Unbiased is not affiliated with or endorsed by the makers of the coding agents you connect.

One model, not a menu.
Several models behind it.

Pareto is Unbiased’s blended AI model: it runs a mix of frontier and open models on each request and blends their outputs into one answer.

See preliminary benchmarks and cost per task →

One real task

One real bug, fixed and checked.

The problem: a small Python helper should split a list into groups of a set size, but it drops the last group. Asked to split [1, 2, 3, 4, 5] into pairs, it returns [[1, 2], [3, 4]] and loses the 5. We gave Pareto the function and the failing check, applied its fix and reran the checks.

Prompt

This Python function drops the last chunk, and this check fails:

def chunk(items, size):
    """Split items into lists of at most `size` elements."""
    out = []
    for i in range(0, len(items) - size, size):
        out.append(items[i:i + size])
    return out
assert chunk([1, 2, 3, 4, 5], 2) == [[1, 2], [3, 4], [5]]

Find the bug, explain it in one sentence, and give me the fixed function.

Pareto’s answer, unedited

The bug is that the loop uses range(0, len(items) - size, size), which stops too early and never generates start indices for the final partial chunk when the list length isn't a multiple of size.

One-sentence explanation: The range stop value len(items) - size excludes the starting index of the last incomplete chunk, so that chunk never gets appended.

Fixed function:

def chunk(items, size):
    """Split items into lists of at most `size` elements."""
    out = []
    for i in range(0, len(items), size):
        out.append(items[i:i + size])
    return out

The change, in plain words

The loop stopped before the end of the list, so the last group was never added. Pareto changed one line so the loop runs to the end.

Before

for i in range(0, len(items) - size, size):

After

for i in range(0, len(items), size):
The checks, before and after
from chunk import chunk

assert chunk([1, 2, 3, 4], 2) == [[1, 2], [3, 4]]
assert chunk([1, 2, 3, 4, 5], 2) == [[1, 2], [3, 4], [5]]
assert chunk([1], 3) == [[1]]
print("3 checks passed")
$ python3 test_chunk.py   # before the fix
AssertionError
$ python3 test_chunk.py   # after the fix
3 checks passed

Captured October 17, 2026 from the Unbiased API (model pareto, served as Pareto 26.10). 702 tokens (132 prompt, 570 answer). The original function fails the first check too: it also drops the second pair of an even split. Raw capture and checks.

What changes

What changes when you switch, and what doesn’t.

Already using a gateway?

Pareto is on OpenRouter too.

If your agent already sends requests through OpenRouter, you can call Pareto there with one model slug. Use Pareto on OpenRouter covers the slug, a sample request and the prices.

The details

Before you choose.

All plans and rates →

Terms · Usage Policy · Data Policy

Is Pareto a coding agent?

No. Pareto is a model you call with the model string pareto. You keep the coding agent, editor or terminal tool you already use and point it at the Unbiased API.

Which coding agents work?

Tools that speak the OpenAI Chat Completions or Anthropic Messages format and let you set a base URL and model name can usually connect. Use the base URL https://api.unbiased.ai/v1 and the model string pareto.

What happens when I hit the weekly allowance?

Requests over your plan’s limits return an HTTP 429 error, per the API spec at unbiased.ai/openapi.json. Personal includes 50M tokens a week and 20 requests per minute. Personal Max raises that to 600M a week and 60 requests per minute for $100/month. Team uses prepaid pay-as-you-go credits with no weekly token cap.

Is my code kept?

Unbiased Chat, Personal and Personal Max are not part of our Zero Data Retention API. Under section 5(c) of the Terms, prompts and responses on those plans may be kept for up to 30 days for abuse prevention, security monitoring, debugging and product improvement, and our staff may access them. Conversations and Projects you save in Chat are kept until you delete them; otherwise for the length of the contract plus 30 days, or 30 days after a verified account deletion request, whichever is earlier. Standard pay-as-you-go API traffic on Team credits isn’t part of the Zero Data Retention API either: under section 5(c)(i) it may be kept for up to 30 days for abuse prevention and security monitoring. The Zero Data Retention API is described on the Private AI page.

What can I buy today?

Personal is $10/month with 50M tokens a week and 20 requests per minute. Personal Max is $100/month with 600M tokens a week and 60 requests per minute. Team uses prepaid pay-as-you-go credits, with no weekly token cap and 300 requests per minute. Subscriptions are for one person and are not unlimited.

When can I start using the API?

Create or sign in to your platform account to choose a plan. New API accounts require manual approval before access turns on; payment does not mean instant access.

Keep your agent. Try the model.

Choose Personal · $10/month

$10/month for one person, with weekly and request limits.