Why KodaAPI: One Key for Every AI Model

The problem with direct provider access

Every AI provider has its own signup flow, billing system, rate limits, and API format. If you want to use Claude for reasoning, GPT-5 for coding, Gemini for long context, and DeepSeek for cost-sensitive tasks — you are managing four accounts, four billing dashboards, and four sets of credentials.

When one provider goes down, your app goes down with it. When you top up credits on one account, the balance on three others sits unused. When a key leaks, you rotate four secrets instead of one.

KodaAPI collapses that complexity into a single endpoint.

One endpoint vs. four accounts

Here is what the two approaches actually look like at scale:

The failover row is where the real reliability difference lives. When a provider account hits a rate limit or returns a 5xx, KodaAPI retries the request on the next available account in the same provider pool — transparently, within the same API call. Your code sees a successful response. If every account is exhausted and the request genuinely fails, the points for that request are returned to your balance automatically.

200+ models, all reachable through one format

KodaAPI covers every major provider: OpenAI, Anthropic, Google, DeepSeek, NVIDIA NIM, Qwen, xAI, Mistral, MiniMax, Kimi, GLM, BytePlus, FLUX, Imagen, and Veo. Text, vision, image generation, video generation — one endpoint handles them all.

A few highlights by category:

Frontier reasoning

• claude-sonnet-5 — $2 / $10 per 1M tokens
• claude-fable-5 — $10 / $50 per 1M tokens
• gpt-5.5 — $5 / $30 per 1M tokens
• deepseek-v4-pro — $0.44 / $0.87 per 1M tokens

Fast and cheap

• gpt-5-nano — $0.05 / $0.40 per 1M tokens
• gemini-3-flash-preview — $0.50 / $3.00 per 1M tokens
• qwen3.7-plus — $0.40 / $1.60 per 1M tokens
• deepseek-v4-flash — $0.14 / $0.28 per 1M tokens

Completely free

• deepseek-v4-flash-free — no cost, no top-up required
• nvidia/meta/llama-3.1-8b-instruct — NVIDIA NIM, free tier
• nvidia/google/gemma-2-2b-it — free

Free models are a genuine zero-cost way to prototype before committing to a paid model. No card required to start — you get $0.50 in trial credit on signup.

Migration takes two lines

KodaAPI is OpenAI-compatible. Any client that already calls OpenAI works immediately — change the base URL and the key, nothing else.

# Before
from openai import OpenAI
client = OpenAI()  # reads OPENAI_API_KEY from env

# After
from openai import OpenAI
client = OpenAI(
    api_key="sk-koda-...",
    base_url="https://api.kodaapi.com/v1"
)

The same swap works in every OpenAI-compatible client: Cursor, Claude Code, Continue.dev, Aider, LangChain, LlamaIndex. In Cursor or Claude Code, set the base URL and key in settings, then pick any of the 200+ models from the model picker.

Switching models is a one-string change. Move from gpt-5.5 to claude-sonnet-5 to deepseek-v4-flash without touching anything else in your code.

What reliability actually means here

Most API gateways are a thin proxy — they pass your request to one provider account and return whatever comes back. KodaAPI runs a pool of accounts per provider type, with an internal load balancer that tracks rate limits and error rates.

• Load balancing: traffic distributed across multiple accounts to avoid rate-limit ceilings on high-volume workloads
• Automatic failover: if an account errors, the next account in the pool handles the request, within the same API call
• Refund on failure: if all accounts in the pool are exhausted and your request fails, points are returned to your balance
• Request logging: every call is logged with model, token counts, latency, and status — visible in the dashboard for debugging and cost attribution

Pricing: pay for what you use

No monthly subscription. No idle fees. No expiring credits.

1 point = 1 token at market rate. To estimate cost: find the model's per-token price in the model catalog, multiply by expected usage.

A 1M-token Claude Sonnet 5 session costs roughly $2 in / $10 out. The same session via GPT-5.5 runs $5 in / $30 out. With KodaAPI you can run both through the same client and the same balance, switching based on what the task actually needs.

Getting started

1. Sign up at kodaapi.com. No card required. $0.50 free credit on account creation.
2. Create an API key from the dashboard. Set it as your OPENAI_API_KEY environment variable.
3. Set the base URL to https://api.kodaapi.com/v1 in your client or IDE settings.
4. Browse models at kodaapi.com/models and call any model by its ID.

If you already have working OpenAI code, you can be running on KodaAPI in under two minutes.