Measured on Composite
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
AI model
unbiased/pareto-26.9
Pareto 26.9 is a 262,144-token model served on Composite at $3.13 per million tokens in and $9.38 per million tokens out.
Try in Playground| Model ID | unbiased/pareto-26.9 |
|---|---|
| Provider | cv11 |
| Context window | 262,144 tokens |
| Accepts | text, image |
| Returns | text |
| Input price | $3.13 per million tokens |
| Output price | $9.38 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Moderated | No |
| Cost on a monthly plan | About 28 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | unbiased/pareto-26.9:cheapThink |
cv11 | $3.13 per million tokens input · $9.38 per million tokens output |
$3.13 per million tokens input · $9.38 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 28 plan credits, at the provider's own price.
cv11
This model is available on Composite alongside dozens of others from other labs, so it is easy to compare against similar options.
With a 262,144-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
It is priced for quality-sensitive scenes, where writing quality and instruction-following matter more than minimizing per-message cost.
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.
Supplied by cv11, not written by Composite.
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