moonshotai
Pareto 26.9 vs Kimi K3
63.4 overall · $3.90 / 1M
// unbiased
Pareto 26.9
unbiased/pareto-26.9
Pareto 26.9 costs $2.50 per 1M input tokens and $7.50 per 1M output tokens with a 262K-token context window.
A tool-calling model from unbiased, released Oct 13, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $2.50
- Output / 1M
- $7.50
- Context
- 262K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $2.50 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $7.50 |
| Blended price 3:1 input:output — #66 most expensive of 348 listed models | $3.75 |
| Cached input read Blank means not priced separately — not free | $0.250 |
| Cache write | — |
| Context window | 262,144 tokens |
| Max output | 131,072 tokens |
| Input modalities | text, image |
| Tool calling | Yes |
| Extended reasoning | No |
| Knowledge cutoff | — |
| Listed | Oct 13, 2026 |
What Pareto 26.9 costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $1,038/mo |
| RAG assistant 8K in / 600 out × 100K requests | $1,550/mo |
| Coding agent 40K in / 4K out × 20K requests | $1,340/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $2,950/mo |
| Bulk classification 500 in / 20 out × 5M requests | $5,875/mo |
Compare Pareto 26.9 with
Benchmarked models at a similar price.
Pareto 26.9 FAQ
How much does Pareto 26.9 cost?
Pareto 26.9 lists at $2.50 per 1M input tokens and $7.50 per 1M output tokens, with cached input reads at $0.250 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $1,550 at list price.
What is the context window of Pareto 26.9?
Pareto 26.9 accepts up to 262,144 tokens of context and can return up to 131,072 output tokens per response.
Does Pareto 26.9 support tool calling?
Yes — Pareto 26.9 supports tool (function) calling. It accepts text, image input.
How does Pareto 26.9 score on benchmarks?
LiveBench has not published a run for Pareto 26.9 yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Pareto 26.9?
On OpenRouter the model ID is "unbiased/pareto-26.9". It was listed on Oct 13, 2026.
More from unbiased
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-09-02. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.