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Toast 1

Released Aug 13, 2026 see all recent releases

Decision reading
Toast 1 is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of August 14, 2026 · How the score is built

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
textMixedbread Agent model catalog
Output modalities
textMixedbread Agent model catalog
Parameters
Not disclosed by the provider
Availability
Mixedbread Chat Completions APIMixedbread Toast 1 announcement
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.036 per million cached input tokensMixedbread pricing
Self-host
Weights are not published
Rate limits
Not tracked yet

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

Aug 13, 2026 · you are here

Toast 1

Not publicly ranked · $0.3 / $0.72

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Toast 1, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

Toast 1 is a proprietary model with a 131K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Available through Mixedbread's OpenAI-compatible Chat Completions API as `toast-1`, with text input and output, function calling, managed Store search tools, a 131K-token context window, and a 4K-token maximum output.

Official launch snapshot from Mixedbread's August 13, 2026 Toast 1 announcement and Agent model documentation. Toast 1 is a proprietary specialized search model that can run standalone or as a retrieval subagent. The published OfficeQA Pro V2 result belongs to GPT-5.6 Sol running in Codex with Toast 1, while the Harvey LAB subset compares full retrieval stacks at equal answer quality; neither is a standalone Toast 1 result. Mixedbread's standalone deep-search figure does not expose a machine-readable benchmark table with protocols that map cleanly to BenchLM keys, so this release remains unranked without copied system-level scores.

The profile has no source-displayable benchmark row yet.

Radar

Toast 1 release history

Full release history

Frequently asked questions

How does Toast 1 perform overall in AI benchmarks?

Toast 1 does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.

Does Toast 1 have full benchmark coverage on BenchLM?

No. Toast 1 currently has 0 source-displayable rows across 437 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Toast 1?

Toast 1 has a documented context window of 131K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Last updated August 14, 2026. Runtime fields remain blank until a sourced snapshot exists.

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