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sesame/csm-1b

deepinfra/sesame/csm-1b

audioContext —

CSM (Conversational Speech Model) is a speech generation model from Sesame that generates RVQ audio codes from text and audio inputs. The model architecture employs a Llama backbone and a smaller audio decoder that produces Mimi audio codes.

Price

Price$7

per character

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Providers

Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.

No provider prices yet.

Monthly bill

Token models use the token counts. Image, video, and audio models use units times the flat rate.

No published price at list price for this workload

Every rate
UnitInputOutputFlatConfidence
character $7/character Not published— Not published— official

Price history

sesame/csm-1b
8 0 2026-10-08: $72026-10-09: $72026-10-10: $72026-10-11: $72026-10-12: $72026-10-13: $72026-10-14: $72026-10-15: $72026-10-16: $72026-10-17: $72026-10-18: $72026-10-19: $72026-10-20: $72026-10-21: $72026-10-22: $72026-10-23: $72026-10-24: $72026-10-25: $72026-10-26: $72026-10-27: $72026-10-28: $72026-10-29: $72026-10-30: $7 2026-10-08 2026-10-30

input or flat output

Daily snapshots
UTC dateUnitInputOutputFlat
2026-10-08 character $7 Not published— Not published—
2026-10-09 character $7 Not published— Not published—
2026-10-10 character $7 Not published— Not published—
2026-10-11 character $7 Not published— Not published—
2026-10-12 character $7 Not published— Not published—
2026-10-13 character $7 Not published— Not published—
2026-10-14 character $7 Not published— Not published—
2026-10-15 character $7 Not published— Not published—
2026-10-16 character $7 Not published— Not published—
2026-10-17 character $7 Not published— Not published—
2026-10-18 character $7 Not published— Not published—
2026-10-19 character $7 Not published— Not published—
2026-10-20 character $7 Not published— Not published—
2026-10-21 character $7 Not published— Not published—
2026-10-22 character $7 Not published— Not published—
2026-10-23 character $7 Not published— Not published—
2026-10-24 character $7 Not published— Not published—
2026-10-25 character $7 Not published— Not published—
2026-10-26 character $7 Not published— Not published—
2026-10-27 character $7 Not published— Not published—
2026-10-28 character $7 Not published— Not published—
2026-10-29 character $7 Not published— Not published—
2026-10-30 character $7 Not published— Not published—

Alternatives

Parameters (1)
tts
Call this model

OpenRouter id deepinfra/sesame/csm-1b. InferenceList does not send the request.

curl 
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepinfra/sesame/csm-1b","messages":[{"role":"user","content":"Hello"}]}'

JavaScript 
await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "deepinfra/sesame/csm-1b",
    messages: [{ role: "user", content: "Hello" }],
  }),
});

Python 
import os, json, urllib.request
req = urllib.request.Request(
    "https://openrouter.ai/api/v1/chat/completions",
    data=json.dumps({"model": "deepinfra/sesame/csm-1b", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
    headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())

JSON · History JSON