InferenceNet — pricing & performance
Models served
9
of 1,191 tracked models
Mean output speed
93
tokens per second, averaged over
9 measured endpoints
9 measured endpoints
Mean latency
0.9s
time to first token, averaged over
9 measured endpoints
9 measured endpoints
Cheapest blended
$0.060
per 1M tokens at a 3:1
input:output blend
input:output blend
Output speed on InferenceNet
Output tokens per second for all 9 models on InferenceNet with published throughput telemetry, the most recent figure OpenRouter publishes for each host. Higher is better. We do not run these measurements ourselves.
All 9 of 9 models⇩
The Known Good
9 models on InferenceNet
Full leaderboard →
| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
|
|
DeepSeek | $0.077 | $0.55 | $0.20 | 97 | 0.6s | 1.04M |
| IN Inference.net: Schematron V2 Small | inference-net | $0.050 | $0.23 | $0.095 | 281 | 0.9s | 128k |
| IN Inference.net: Schematron V2 Turbo | inference-net | $0.030 | $0.15 | $0.060 | 39 | 0.9s | 128k |
|
|
Moonshot AI | $0.73 | $10.00 | $3.05 | 80 | 0.9s | 250k |
|
|
Tencent | $0.75 | $2.25 | $1.12 | 44 | 1.9s | 1.05M |
| Mi Xiaomi: MiMo-V2.6-Flash | Xiaomi | $0.12 | $0.28 | $0.16 | 63 | 0.9s | 1.05M |
|
|
Z.ai | $0.20 | $2.40 | $0.75 | 89 | 0.4s | 1.05M |
|
|
Z.ai | $0.080 | $4.40 | $1.16 | 86 | 0.9s | 1.05M |
|
|
Z.ai | $0.070 | $0.050 | $0.065 | 61 | 0.4s | 1.05M |
The Known Good
Source. Prices, endpoint availability and throughput for InferenceNet 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.