Home / Companies / Mixedbread / Blog / Post Details
Content Deep Dive

Introducing Toast 1

Blog post from Mixedbread

Post Details
Company
Date Published
Author
Mixedbread Team
Word Count
1,700
Company Posts That Month
2
Language
English
Hacker News Points
4
Post removed?
No
Summary

Mixedbread has launched Toast 1, a specialized agentic search model designed to decompose queries, retrieve and inspect evidence, and provide curated context to either operate independently or support frontier models as a subagent. The company reports that Toast 1 matches or exceeds frontier retrieval quality while reducing search cost, latency, token use, and agent turns, particularly when paired with Mixedbread Search, although it can also use existing retrieval backends. Reported evaluations include 70% correctness at roughly $1.15 per task on Databricks’ OfficeQA Pro V2 with GPT-5.6 Sol in Codex, and equivalent scores on a 33-task legal knowledge benchmark while using 3.5 times fewer tokens than a vanilla retrieval setup. On deep-search benchmarks, Mixedbread says standard Toast 1 runs cost about $0.016–$0.023 per query with roughly eight-second median latency, compared with 20 seconds to four minutes for comparable frontier-model agents. Toast 1 is available through the Mixedbread API at launch-discounted token pricing, integrates with Chat Completions, coding agents, and Mixedbread Stores, and includes an introductory API credit offer.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Cost per task 1 64 45 24 -18%
Subagents 1 276 88 41 +39%
Vector Search 1 2,358 371 127 +5%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.