Meta's newest Muse Spark — the model behind Muse Code, with bigger gains in coding and agentic work over 1.1. 1M context, multimodal input (text, image, video, file, audio), reasoning.
Modalities
Text+Image → Text
Below release
Not established
Weights
Not published
Where it sits in the catalogue Kyma measures
Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.
$1.688
output $5.738
median $0.977 · best $0.0494
$5.738
per 1M tokens generated
median $3.4515 · best $0.2164
Not measured yet
8 observations since 2026-08-31
median 98.1% · best 100.0%
123.4 tok/s
probe median, one fixed prompt
median 40.0 tok/s · best 314.3 tok/s
3.60 s
probe median, to a complete answer
median 2.45 s · best 0.84 s
1.05M
max output 8,192
published by Meta, not measured here
Tick above each rail is this model, below it the other 65. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.
Pricing
Pay per token. Cached input bills at this model’s own cached rate, listed below.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$187
$6.25 / day on Muse Spark 1.2
Same workload on:
Estimates use list pricing. Actual bills depend on real token counts, and every response includes its exact cost.
How it compares
Against the peers people actually weigh it against.
| Spec | Muse Spark 1.2 | Llama 4 Maverick | Muse Spark 1.1 |
|---|---|---|---|
| Input /1M | $1.688 | $0.27 | $1.542 |
| Output /1M | $5.738 | $1.08 | $5.243 |
| Context | 1M | 1M | 1M |
| Tools | Yes | Yes | Yes |
| Reasoning | Yes | No | Yes |
| Throughput | 123.4 tok/s | 33 tok/s | 176.3 tok/s |
Quick start
Up and running in under two minutes.
- 1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit, no card required.
Get API key → - 2
Make your first request
Drop in your key and send a chat completion — fully OpenAI-compatible.
curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "muse-spark-1.2", "messages": [ {"role": "user", "content": "Explain prompt caching in one paragraph."} ] }' - 3
Stream responses
Add
"stream": trueto receive tokens as they arrive.curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "muse-spark-1.2", "stream": true, "messages": [{"role": "user", "content": "Hello!"}] }'
FAQ
Common questions about this model.
What is the context window of Muse Spark 1.2?
How much does the Muse Spark 1.2 API cost?
Does Muse Spark 1.2 support function calling?
Are the weights for Muse Spark 1.2 publicly available?
Is Muse Spark 1.2 ever served below the precision its creator released it at?
How do I use Muse Spark 1.2?
More models by Meta
| Model | Context | Input | Output |
|---|---|---|---|
Muse Glimmer 30B | 131K | $0.405 | $1.62 |
Muse Spark 1.1 | 1M | $1.542 | $5.243 |
Llama 4 Maverick | 1M | $0.27 | $1.08 |
Llama 3.3 70B | 128K | $0.135 | $0.432 |
