BaseTen — pricing & performance
Models served
13
of 1,094 tracked models
Mean output speed
89
tokens per second, averaged over
12 measured endpoints
12 measured endpoints
Mean latency
1.5s
time to first token, averaged over
12 measured endpoints
12 measured endpoints
Cheapest blended
$0.16
per 1M tokens at a 3:1
input:output blend
input:output blend
Output speed on BaseTen
Output tokens per second for the 12 of 13 models on BaseTen with published throughput telemetry, the most recent figure OpenRouter publishes for each host. The full table below lists all 13, measured or not. Higher is better. We do not run these measurements ourselves.
The Known Good
13 models on BaseTen
Full leaderboard →
| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
|
|
DeepSeek | $0.13 | $0.26 | $0.16 | 80 | 0.6s | 1.05M |
|
|
DeepSeek | $1.74 | $3.48 | $2.17 | 66 | 0.6s | 1.05M |
|
|
DeepSeek | $1.32 | $3.96 | $1.98 | 46 | 0.5s | 1.05M |
|
|
Moonshot AI | $0.95 | $4.00 | $1.71 | — | — | 262k |
|
|
Moonshot AI | $0.95 | $4.00 | $1.71 | 39 | 0.6s | 262k |
|
|
Moonshot AI | $3.00 | $15.00 | $6.00 | 39 | 2.6s | 1.05M |
|
|
NVIDIA | $0.60 | $2.40 | $1.05 | 75 | 0.7s | 203k |
|
|
OpenAI | $0.10 | $0.50 | $0.20 | 187 | 0.2s | 128k |
| TM Thinking Machines: Inkling | Thinking Machines | $1.00 | $4.05 | $1.76 | 120 | 2.4s | 1.05M |
| TM Thinking Machines: Inkling Small | Thinking Machines | $0.50 | $1.20 | $0.68 | 139 | 6.1s | 1.05M |
|
|
Z.ai | $1.40 | $4.40 | $2.15 | 88 | 1.6s | 1.05M |
|
|
Z.ai | $1.40 | $4.40 | $2.15 | 96 | 1.5s | 1.05M |
|
|
Z.ai | $0.15 | $0.50 | $0.24 | 93 | 0.7s | 1.05M |
The Known Good
Source. Prices, endpoint availability and throughput for BaseTen 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.