Decart — pricing & performance
Models served
5
of 1,094 tracked models
Mean output speed
56
tokens per second, averaged over
5 measured endpoints
5 measured endpoints
Mean latency
2.5s
time to first token, averaged over
5 measured endpoints
5 measured endpoints
Cheapest blended
$0.000
per 1M tokens at a 3:1
input:output blend
input:output blend
Output speed on Decart
Output tokens per second for all 5 models on Decart with published throughput telemetry, the most recent figure OpenRouter publishes for each host. Higher is better. We do not run these measurements ourselves.
All 5 of 5 models⇩
The Known Good
5 models on Decart
Full leaderboard →
| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
|
|
DeepSeek | $0.064 | $0.13 | $0.080 | 55 | 0.8s | 262k |
|
|
Moonshot AI | $0.52 | $2.45 | $1.00 | 65 | 0.5s | 262k |
|
|
Z.ai | $0.68 | $2.28 | $1.08 | 42 | 1.4s | 1.05M |
|
|
Z.ai | $0.000 | $0.000 | $0.000 | 93 | 3.6s | 256k |
|
|
Z.ai | $1.18 | $3.70 | $1.81 | 27 | 5.9s | 1.05M |
The Known Good
Source. Prices, endpoint availability and throughput for Decart are ingested from OpenRouter;
model metadata is enriched from models.dev. A blank cell means the figure was not published for that endpoint —
it never means zero. Blended price is (3 × input + output) ÷ 4, the same 3:1 blend used everywhere on this
site; see methodology. Quality scores are not provider-specific:
a model scores the same wherever it is hosted, so quality lives on the
model pages.