Model zoo
Published xPerf levels and rates for the models Model Select chooses between.
The zoo is the set of models Model Select chooses between. This page lists published xPerf levels. Active Model Select candidates can also use inferred levels, so absence from this table does not necessarily make a model invalid as a quality bar:
{"xPerf": "anthropic/claude-sonnet-5"}That reads as "at least as capable as this model", and it is the same as sending the number in its xPerf column. Naming the model is usually better, because the number moves when a model is re-measured and the name does not.
Levels
A level measures a model against a fixed reference point. The reference is
1.0 and it never moves, so a level means the same thing in a year as it does
today, and a bar you set now does not quietly tighten as better models arrive.
1.0 is not a ceiling. The reference was set at the frontier of the day, which
does not impose a maximum: a model that beats the reference scores above
1.0.
A level is a general ranking, not a verdict on your prompt
A level measures a model's ability across a broad, hard benchmark. Your
request is one prompt, and on an easy one a lower-ranked model often answers
as well as the strongest models do. For that request it meets an xPerf above
its own level, and routing will choose it. On a hard prompt the same model
falls short and is passed over. See how xPerf is
applied.
The floor is 0.1, which is also the smallest number xPerf accepts. Anything
below that is not a valid requested quality bar.
| Model | xPerf | Input / 1M | Output / 1M |
|---|---|---|---|
anthropic/claude-fable-5-1 | 1.00 | $10.00 | $50.00 |
openai/gpt-6-astra | 1.00 | $10.00 | $50.00 |
anthropic/claude-opus-5 | 0.96 | $5.00 | $25.00 |
meta/muse-spark-1.3 | 0.91 | $1.25 | $4.25 |
openai/gpt-5.6-sol | 0.89 | $2.00 | $10.00 |
qwen/qwen3.8-max-0902 | 0.85 | $2.00 | $6.00 |
moonshotai/kimi-k3 | 0.83 | $3.00 | $15.00 |
x-ai/grok-4.6 | 0.83 | $2.00 | $6.00 |
openai/gpt-5.6-terra | 0.79 | $2.00 | $12.00 |
z-ai/glm-5.3-flash | 0.79 | $0.04 | $0.14 |
google/gemini-3.8-flash | 0.77 | $0.75 | $3.75 |
anthropic/claude-sonnet-5 | 0.72 | $2.00 | $10.00 |
openai/gpt-5.6-luna | 0.72 | $0.20 | $1.20 |
qwen/qwen3.8-27b | 0.64 | $0.42 | $3.00 |
anthropic/claude-haiku-4-5-20251001 | 0.34 | $1.00 | $5.00 |
google/gemma-4-31b-it | 0.28 | $0.09 | $0.34 |
16 models. Rates are live; levels were published 2026-10-06.
Each level is the model at its best
A reasoning model is not one point on this scale. The number above is its
highest effort, which is what an xPerf naming it resolves to when you send
no xPerfEffort.
The same model at low sits well below its row here. claude-opus-5 runs
from 0.75 at low to 0.96 at max.
Models without a published level
The serving catalogue and the Model Select candidate set are different. A model can be available for a direct completion without being a candidate of the active Model Select checkpoint.
For xPerf, Model Select uses a published level when available; otherwise it
can use an inferred level for an active candidate. A model for which neither
is available returns 400. modelZoo filters active Model Select candidates, not
the entire serving catalogue:
{"modelZoo": "anthropic/*,openai/gpt-5*"}A pattern matching no active candidate is rejected.
Reading the table
Rates come from the gateway catalogue, as on Pricing. The website caches catalogue data, so a recent update may not appear immediately.
The levels are a snapshot, and the date under the table says when it was taken. They change only when a model is re-measured, which is rare, but it does mean a level here can lag the one the API is using. Prices can also lag during cache revalidation.