LLM Reference

Using Arrow 2 Telos on QuiverAI

Implementation guide · Arrow · QuiverAI

Serverless

QuiverAI exposes Arrow 2 Telos through model ID arrow-2-telos. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-17. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at QuiverAI and generate an API key.
  2. 2
    Use the QuiverAI SDK or REST API to call arrow-2-telos — see the documentation for request format.
  3. 3
    You'll be billed $6.00/1M input, $30.00/1M output tokens. See full pricing.

Code Examples

See QuiverAI documentation for integration details.

Pricing on QuiverAI

TypePrice (per 1M)
Input tokens$6.00
Output tokens$30.00

Capabilities

VisionMultimodalJSON / Tool usePrompt Caching

About Arrow 2 Telos

Arrow 2 Telos (API model id arrow-2-telos) is QuiverAI's most capable generally available Arrow model for demanding vector work and longer contexts. Launch blog: combines Arrow speed with frontier-model refinement for complex styles, compositions, and requirements; choose Telos for harder briefs. Tip reply 2026-09-16 introduces Telos with the same positioning. Docs: inputs text/image/SVG; output SVG; context 1,050,000 tokens; max output 65,536; SVG generation + image vectorization supported; editing/animation and Responses when catalog-enabled; token_usage billing at 50% higher rates than Arrow 2 in every token category. Proprietary hosted — no public weights. INSERT under family arrow.

Model Specs

Released2026-09-07
Context1.05m

More Models on QuiverAI

Provider

QuiverAI

TypeSafe AI

San Francisco, California, United States