GMICloud — pricing & performance
Models served
13
of 908 tracked models
Mean output speed
47
tokens per second, averaged over
12 measured endpoints
12 measured endpoints
Mean latency
2.3s
time to first token, averaged over
12 measured endpoints
12 measured endpoints
Cheapest blended
$0.100
per 1M tokens at a 3:1
input:output blend
input:output blend
Output speed on GMICloud
Median output tokens per second for each model this host serves, derived from OpenRouter endpoint telemetry. Higher is better. We do not run these measurements ourselves.
12 of 13 models ▾
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The Known Good
13 models on GMICloud
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| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
DeepSeek: DeepSeek V3.2
|
DeepSeek | $0.29 | $0.43 | $0.33 | 30 | 2.6s | 164k |
|
DeepSeek: DeepSeek V4 Flash
|
DeepSeek | $0.094 | $0.19 | $0.12 | 49 | 1.4s | 1.05M |
|
DeepSeek: DeepSeek V4 Pro
|
DeepSeek | $0.68 | $1.36 | $0.85 | 62 | 2.6s | 1.05M |
MiniMax: MiniMax M2.7
|
MiniMax | $0.30 | $1.20 | $0.53 | 22 | 3.8s | 197k |
|
MiniMax: MiniMax M3
|
MiniMax | $0.24 | $0.96 | $0.42 | 30 | 1.4s | 1.05M |
Qwen: Qwen3.5 397B A17B
|
Alibaba | $0.60 | $3.60 | $1.35 | — | — | 262k |
Tencent: Hy3
|
Tencent | $0.13 | $0.53 | $0.23 | 37 | 1.6s | 262k |
|
Tencent: Hy3 preview
|
Tencent | $0.063 | $0.21 | $0.100 | 60 | 2.5s | 262k |
| Mi Xiaomi: MiMo-V2.5 | Xiaomi | $0.11 | $0.22 | $0.14 | 41 | 2.8s | 1.05M |
| Mi Xiaomi: MiMo-V2.5-Pro | Xiaomi | $0.35 | $0.70 | $0.43 | 38 | 4.0s | 1.05M |
Z.ai: GLM 5
|
Z.ai | $0.60 | $1.92 | $0.93 | 69 | 1.2s | 203k |
|
Z.ai: GLM 5.1
|
Z.ai | $0.98 | $3.08 | $1.50 | 77 | 2.7s | 203k |
|
Z.ai: GLM 5.2
|
Z.ai | $0.92 | $2.90 | $1.42 | 50 | 1.5s | 1.05M |
The Known Good
Source. Prices, endpoint availability and throughput for GMICloud 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.