sesame

Sesame: CSM 1B

sesame/csm-1b

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter's catalog presents sesame/csm-1b as a Sesame conversational speech model that turns text into English speech. The listing says voices cover conversational and read-speech styles, provides a defined context window, and indicates text input with speech output. These are catalog-reported capabilities rather than independently measured results. The source pack contains no standalone model card, safety details, benchmark measurements, or other provider documentation, so suitability for production workloads should be validated directly.[1]

Strengths

Catalog-listed English speech generation from text input.[1]
Reported voice choices span conversational and read-speech styles.[1]

Limitations

Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack.[1]
No benchmark or evaluation results were reported, so quality, latency, and voice naturalness remain unverified.[1]
The evidence describes only English speech output; support for other languages and safety, licensing, and deployment details is not reported.[1]

Where to use it

Prototype English spoken responses for conversational interfaces.[1]
Create read-aloud or dialogue samples after validating voice quality.[1]
Test text-to-speech workflows under representative workloads before production use.[1]

Sources

[1] OpenRouter catalog · Sesame: CSM 1BSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

CSM 1B is a conversational speech model from Sesame. It accepts text input and produces English speech output, with voice options spanning conversational and read-speech styles. At 1B parameters, it...

Specifications

Model ID: sesame/csm-1b
Creator: sesame
Added to OpenRouter: 23.04.2026
Context length: 4,096
Modality: text->speech
Input modalities: text
Output modalities: speech
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	—
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
DeepInfra	4,096	—	—	—	—	—

Provider data retrieved: 13.11.2026

No published articles identify this model yet.