InferenceNet — pricing & performance
Models served
12
of 1,234 tracked models
Mean output speed
106
tokens per second, averaged over
12 measured endpoints
12 measured endpoints
Mean latency
0.6s
time to first token, averaged over
12 measured endpoints
12 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 12 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.
The Known Good
12 models on InferenceNet
Full leaderboard →
| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
|
|
DeepSeek | $0.10 | $0.60 | $0.23 | 118 | 0.3s | 1.04M |
|
|
DeepSeek | $0.080 | $0.55 | $0.20 | 101 | 0.4s | 1.04M |
| IN Inference.net: Schematron V2 Small | inference-net | $0.050 | $0.23 | $0.095 | 219 | 0.2s | 128k |
| IN Inference.net: Schematron V2 Turbo | inference-net | $0.030 | $0.15 | $0.060 | 63 | 0.6s | 128k |
|
|
MiniMax | $0.15 | $0.60 | $0.26 | 67 | 0.6s | 1.00M |
|
|
Moonshot AI | $0.24 | $10.80 | $2.88 | 100 | 0.5s | 1.05M |
| St StepFun: Step 5 Preview | stepfun | $1.00 | $2.70 | $1.43 | 201 | 0.5s | 1.05M |
|
|
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 | $1.30 | $4.40 | $2.08 | 87 | 0.7s | 1.05M |
|
|
Z.ai | $0.080 | $3.60 | $0.96 | 112 | 0.7s | 1.05M |
|
|
Z.ai | $0.12 | $0.39 | $0.19 | 94 | 0.3s | 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.