deepseek-flash vs muse-spark-1.3-contributor
| deepseek-flash | muse-spark-1.3-contributor | |
|---|---|---|
| Providers | — | — |
| Input $/M | $0.15 | $0.10 |
| Output $/M | $0.62 | $0.20 |
| Output multiplier | ×4.00 | ×2.00 |
| Context window | — | — |
| Intelligence index | — | — |
| Coding index | — | — |
What the numbers mean
Input pricing is close — 1.54× apart — so the decision should come down to measured quality on your own evaluation set rather than headline cost.
Code
from openai import OpenAI
client = OpenAI(base_url="https://starseaapi.com/v1", api_key="sk-...")
# deepseek-flash
client.chat.completions.create(model="deepseek-flash", messages=[{"role":"user","content":"Hi"}])
# muse-spark-1.3-contributor
client.chat.completions.create(model="muse-spark-1.3-contributor", messages=[{"role": "user", "content": "Hi"}])