Muse Spark 1.3 Contributor
meta/muse-spark-1.3-contributor · family muse · in: text, image, video, pdf, audio → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text image video pdf audio.
$0.13
Blended $/1M (3:1)
$0.1
Input $/1M
$0.2
Output $/1M
$0.30
1M in + 1M out
$0.002 −98%
Cache read $/1M
#1021 of 7,045
Cheapest rank
- Provider
- Meta (
meta) - Kind
- text (outputs text)
- Context
- 1,048,576 tokens
- Max output
- 131,072 tokens
- Capabilities
- tools reasoning text image video pdf audio
Same model, other providers
“Muse Spark 1.3 Contributor” is offered by 5 providers — cheapest-effective first. This one (Meta) is the cheapest.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Meta (this) | $0.1 | $0.2 | $0.13 | 1M |
| NanoGPT | $0.1 | $0.2 | $0.13 | 1M |
| OpenRouter | $0.1 | $0.2 | $0.13 | 1M |
| OpenCode Go | $0.1 | $0.2 | $0.13 | 1M |
| Vercel AI Gateway | $0.1 | $0.2 | $0.13 | 1M |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at Meta and pass this model id:
curl $BASE_URL/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
-d '{"model":"muse-spark-1.3-contributor","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):