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import marimo
__generated_with = "0.23.10"
app = marimo.App(width="full")
@app.cell
def _():
import marimo as mo
import pandas as pd
import altair as alt
return alt, mo, pd
@app.cell
def _(pd):
# Data — add new models here.
# price: blended $/1M tokens
# https://artificialanalysis.ai/leaderboards/models
MODELS = [
{
"name": "DeepSeek V4 Flash",
"aai_score": 37,
"price": 0.08,
"tok_per_sec": 101,
},
{
"name": "DeepSeek V4 Pro",
"aai_score": 44,
"price": 0.18,
"tok_per_sec": 85,
},
{
"name": "Claude Opus 4.7",
"aai_score": 54,
"price": 3.85,
"tok_per_sec": 51,
},
{
"name": "Claude Opus 4.8",
"aai_score": 56,
"price": 3.85,
"tok_per_sec": 58,
},
{
"name": "Claude Sonnet 4.6",
"aai_score": 47,
"price": 2.31,
"tok_per_sec": 50,
},
{
"name": "Claude Haiku 4.5",
"aai_score": 30,
"price": 0.77,
"tok_per_sec": 93,
},
{
"name": "Gemini 3.5 Flash",
"aai_score": 50,
"price": 1.31,
"tok_per_sec": 161,
},
{
"name": "MiMo 2.5",
"aai_score": 40,
"price": 0.06,
"tok_per_sec": 79,
},
{
"name": "Nemotron 3 Ultra",
"aai_score": 38,
"price": 0.58,
"tok_per_sec": 164,
},
{
"name": "Gemma 4 E2B (local)",
"aai_score": 9,
"price": 0.0,
"tok_per_sec": 60,
},
{
"name": "GLM 5.2",
"aai_score": 51,
"price": 0.90,
"tok_per_sec": 82
}
]
df = pd.DataFrame(MODELS)
return MODELS, df
@app.cell
def _(MODELS, mo):
mo.md(f"""
# 🤖 LLM Stats Tracker
**{len(MODELS)} models tracked** — edit the `MODELS` list above to add more.
""")
return
@app.cell
def _(alt, df):
# Price vs Quality (colour = tok/sec)
scatter = (
alt.Chart(df)
.mark_circle(size=200)
.encode(
x=alt.X("price", title="Blended Price $/1M"),
y=alt.Y("aai_score", title="AAI Score"),
color=alt.Color("tok_per_sec:Q", title="tok/sec", scale=alt.Scale(scheme="viridis")),
tooltip=["name", "aai_score", "price", "tok_per_sec"],
)
)
labels = (
alt.Chart(df)
.mark_text(dy=-12, fontSize=10)
.encode(
x="price",
y="aai_score",
text="name",
)
)
chart_price_quality = (scatter + labels).properties(width="container")
chart_price_quality
return
@app.cell
def _(alt, df):
# Speed vs Quality (colour = price)
bubble = (
alt.Chart(df)
.mark_circle(size=120, opacity=0.7)
.encode(
x=alt.X("tok_per_sec:Q", title="Tokens/sec"),
y=alt.Y("aai_score:Q", title="AAI Score"),
color=alt.Color("price:Q", title="Price $/1M", scale=alt.Scale(scheme="viridis")),
tooltip=["name", "aai_score", "price", "tok_per_sec"],
)
)
bubble_labels = (
alt.Chart(df)
.mark_text(dy=-14, fontSize=10, fontWeight="bold")
.encode(
x="tok_per_sec:Q",
y="aai_score:Q",
text="name:N",
)
)
chart_speed_quality = (bubble + bubble_labels).properties(width="container")
chart_speed_quality
return
if __name__ == "__main__":
app.run()
|
