Unbiased model
Pareto 26.10 API cost calculator
Pareto 26.10 costs $0.80 per 1M input tokens and $3.20 per 1M output tokens on the Unbiased API, with a 1.0M-token context window. A typical request (2K input, 500 output tokens) costs $0.0032 — about $96.00/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 26.10
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0014 | $1.36 |
| RAG query with context | 4,000 / 500 | $0.0048 | $4.80 |
| Document summarization | 20,000 / 1,000 | $0.02 | $19.20 |
| Agent coding session | 100,000 / 5,000 | $0.10 | $96.00 |
Pareto 26.10 vs other Unbiased models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Pareto 26.10 | $0.80 | $3.20 | 1.0M |
| Pareto 26.9 | $2.50 | $7.50 | 262K |
Frequently asked questions
How much does Pareto 26.10 cost per 1M tokens?
According to current pricing data, Pareto 26.10 costs $0.80 per 1M input tokens and $3.20 per 1M output tokens. Processing 1M tokens each way costs $4.00.
What does a typical API request to Pareto 26.10 cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0032. At 1,000 requests per day that is $3.20 daily, or about $96.00 per month.
What is Pareto 26.10's context window?
Pareto 26.10 supports a 1.0M-token context window (1,048,576 tokens).
Does Pareto 26.10 support prompt caching?
Yes. Cached input tokens cost $0.03 per 1M — a 96% 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 26.10?
gpt-oss-20b from OpenAI is currently the cheapest comparable option at $0.02 per 1M input tokens versus $0.80 for Pareto 26.10 — roughly 44x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Pareto 26.10 vs gpt-oss-20b pricing, or run Pareto 26.10 head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.