Pareto
by Unbiased · unbiased/pareto · #344 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:22 PM UTC · refreshed hourly
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$2.50
per 1M tokens
Output
$7.50
per 1M tokens
Blended (3:1)
$3.75
3 input : 1 output
Cache read
$0.25
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Pareto with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $3.75 | $0.2625 | — |
| 50% | $2.91 | $0.15 | −43% |
| 90% | $2.23 | $0.06 | −77% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.0035 | $3.50 |
| Document summary | 8,000 | 1,000 | $0.0275 | $27.50 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.09 | $90.00 |
| Long-context analysis | 150,000 | 5,000 | $0.4125 | $412.50 |
Specs
Context window
262K
tokens
Max output
131K
tokens
Input modalities
text, image
Tokenizer
Other