Unbiased model
Pareto 26.9 API cost calculator
Pareto 26.9 costs $2.50 per 1M input tokens and $7.50 per 1M output tokens on the Unbiased API, with a 262K-token context window. A typical request (2K input, 500 output tokens) costs $0.0088 — about $263/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on Pareto 26.9
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0035 | $3.50 |
| RAG query with context | 4,000 / 500 | $0.01 | $13.75 |
| Document summarization | 20,000 / 1,000 | $0.06 | $57.50 |
| Agent coding session | 100,000 / 5,000 | $0.29 | $288 |
Pareto 26.9 vs other Unbiased models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Pareto 26.9 | $2.50 | $7.50 | 262K |
| Pareto 26.10 | $0.80 | $3.20 | 1.0M |
Frequently asked questions
How much does Pareto 26.9 cost per 1M tokens?
According to current pricing data, Pareto 26.9 costs $2.50 per 1M input tokens and $7.50 per 1M output tokens. Processing 1M tokens each way costs $10.00.
What does a typical API request to Pareto 26.9 cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0088. At 1,000 requests per day that is $8.75 daily, or about $263 per month.
What is Pareto 26.9's context window?
Pareto 26.9 supports a 262K-token context window (262,144 tokens).
Does Pareto 26.9 support prompt caching?
Yes. Cached input tokens cost $0.25 per 1M — a 90% discount versus the standard input rate, which matters for agents and chat apps that resend the same system prompt.
What is a cheaper alternative to Pareto 26.9?
gpt-oss-20b from OpenAI is currently the cheapest comparable option at $0.02 per 1M input tokens versus $2.50 for Pareto 26.9 — roughly 139x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Pareto 26.9 vs gpt-oss-20b pricing, or run Pareto 26.9 head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.